Necessarily skills• Solid foundation in computer science fundamentals and data structures.

Supporting Cast seeks a passionate, creative developer with PHP and agentic engineering experience to expand onSupporting Cast’s podcast subscription platform. As a key member of our team, you’ll be helping independent creators, podcast publishers, and media companies improve their financial sustainability and better satisfy their fans. You’ll be joining a small development team and will be in a position to influence our tech stack and our evolving product. Working here provides the dynamic excitement of a startup, and the stability and competitive compensation of an established employer.

We will consider candidates from anywhere in the United States, provided you can largely work East Coast hours—the role is fully remote.

About the Position

Opportunities:

• Learn a lot about the podcast industry and the rapidly growing paid subscription market
• Scale an application as we onboard clients with tens of thousands of members and evaluate new technologies
• Develop and maintain user- and administrator-facing features in our existing stack
• Help us leverage A.I. tools to accelerate new feature development and improve code quality and security
• Build and maintain implementations for other websites, including embeds and third-party integrations

Our Current Tech Stack:

• App: PHP/Laravel, Nginx, Varnish, Redis, PostgreSQL, Docker, React
• Dev ops: AWS, Fastly CDN
• Key business vendors and partners: Stripe, Spotify, Wordpress
• Key software vendors: Google Cloud Computing, AWS (SES/SNS/SMS), Anthropic
• Repo: GitHub
• Project management: Agile-oriented. Notion, Google Docs, Slack.

Requirements

• 1–3 years of professional experience with PHP and a PHP framework such as Laravel
• 1–2 years of experience with LLM-based A.I.
• Familiarity with programming fundamentals and industry best practices; a CS degree is a plus but not required
• Willingness to adapt and learn on the job

$115,000 - $135,000 a year

Supporting Cast offers a comprehensive benefits program that gives eligible employees the flexibility to choose the right benefits for themselves and their families. There are three subsidized medical plans and two dental plans, provided by Aetna, which can be paired with flexible spending accounts.

WHY JOIN SUPPORTING CAST?

You’ll help make workplaces more connected, informed, and interesting via the magic of podcasting. Supporting Cast built one of podcasting’s first and most successful subscription management platforms for top public podcasters before expanding to improve employee experiences at some of the most interesting companies in the world.

You’ll be the first hire for this function. This is a great opportunity if you want ownership of your work, a taste of startup life, and the responsibility of setting the bar high for a new team. You’ll also enjoy competitive salary and benefits in a remote-first, mission-driven, and family-friendly team.

About Supporting Cast:

Supporting Cast is a podcast monetization platform that helps top publishers and creators offer premium subscription content directly to listeners. Our clients include leading podcast publishers like NPR, SiriusXM, and NBC, along with major independent shows. A proponent of the open ecosystem, we make it seamless for subscribers to access premium podcast content in their favorite app—no new app to download—and give publishers the tools to grow and manage their paying audience with flexible integrations, analytics, and payments.

We’re a small, fully remote company with a strong belief in the future of audio. We’re looking for someone who is thoughtful and detail-oriented to help us bring the magic of podcasting into more corporate settings.

Supporting Cast is an affiliate of the Graham Holdings Company (NYSE:GHC). GHC is a diversified holding company whose operations include educational services; home health and hospice care; television broadcasting, online, print, and local TV news; automotive dealerships; manufacturing; hospitality; and consumer internet companies.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn’t ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship...

About Mactores Mactores is the agent-native AWS modernization firm. Most enterprise modernization stalls at pilots and handoffs; ours ships, production systems running, legacy retired, outcomes measured. Our delivery is built...

A note before you apply

We’re hiring Software Engineering Interns! This is a full-time (40+ hours a week) salaried 12 month internship where you’ll work closely with our Engineering, Product, and Design teams to build real features, solve real problems, and contribute to products that make a difference.

This listing represents multiple openings and for standout interns our goal is to convert this into a full-time engineering role at the end of the program.

About Clerkie

Clerkie is a fintech startup on a mission to democratize financial wellness using the power of artificial intelligence. Launched in 2018, Clerkie began with an app, aiming to help the nearly 123 million underserved Americans in need of financial guidance. Since its inception, the company has expanded its services and now pairs consumer guidance with cutting-edge B2B software. By pairing the two through the Clerkie network, these tools have become the go-to resource for creditors looking to manage loan losses while simultaneously helping millions of borrowers get out of debt.

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United States. To date, the company has raised $41 million, including a $33 million Series A round in early 2023. Investors include leading financial and venture institutions, including Citi Ventures, Left Lane Capital, Wellington Ventures, Flourish Ventures, and Vestigo Ventures.

About the internship

As the newest addition to Team Clerkie, this Software Engineer Intern will work across our Engineering function to contribute to Clerkie Fiber, our B2B CRM, designed to transform the debt industry.

This full-time 12 month paid internship is designed for soon-to-be or recent graduates who are excited to kickstart their career in software engineering. You’ll work across the full stack, collaborating with engineers on frontend, backend, and infrastructure projects. Whether you’re optimizing APIs, refining user interfaces, or contributing to our architecture, your work will have a direct impact.

This isn’t just another internship - it’s an investment in your growth. The ideal Clerkie team member is curious, collaborative, and eager to grow in a fast-paced environment. Clerkie’s culture values a customer-first mindset and a bias for action - we’re looking for someone who’s excited to dive in and learn.

While this opportunity is remote-first, Clerkie offers the option to visit or work from our SF HQ at any time.

Here’s what you will do

• Develop and maintain Clerkie Fiber, our flagship B2B CRM, collaborating closely with backend, frontend, product, and design teams
• Work across the full tech stack, from frontend interfaces (Next.js, Tailwind CSS) to backend services (Node.js, AWS, MongoDB)
• Build robust and scalable APIs to support our platform’s growing user base
• Optimize performance and ensure a seamless, user-friendly experience
• Write clean, well-structured, and maintainable code with a strong emphasis on scalability and security
• Contribute to system architecture decisions, helping shape the future of Clerkie’s technology

Minimum qualifications

• A soon-to-be or recent graduate (class of 2024 or 2025 preferred) with a degree in Computer Science, Software Engineering, or a related field
• Proficiency in JavaScript/TypeScript and experience with React.js, Next.js, or Node.js
• Comfortable working with databases (SQL or NoSQL, e.g., PostgreSQL, MongoDB)
• Ability to manage project priorities, meet deadlines, and deliver results independently
• Excitement for being part of a small, fast-moving team where every day brings new challenges and opportunities to learn and grow

Preferred qualifications (ranked by priority and not required):

• Personal or school projects involving full-stack development
• Exposure to AWS, Docker, or CI/CD pipelines
• Experience with testing frameworks (Jest, Mocha)
• Interest in fintech or financial literacy

Other adds

• Passion for our mission
• Experience building and scaling products
• Proactive team player who can work with others towards a common goal
• Extreme focus on the user with a healthy obsession for solving their needs
• Committed to being a part of something bigger than yourself

Our salary range

• 💰 Salary range : $80 - 100k
• 💻 Remote-first role (US only)
• 🧘 Medical, dental, and vision insurance
• 📈 401(k) + retirement benefits
• 🌴 Paid time off + annual company retreat
• 💻 Company laptop + home office stipend
• 💙 Collaborative, values-driven culture

Our Process

Our hiring process is intentionally designed for you to interview Clerkie as much as our team is interviewing you. We’ve built a 5-step process that allows for a two-way assessment across skills, behaviors, values, technical ability, ways of working, and adaptability in a lean startup environment.

• Application & Coderbyte(async candidate time)
• Intro Screen w/ People team (20-30 minutes via Google meet)
• Take-Home Challenge & Live Review w/ Sr. Engineer (challenge is async candidate time, live review is 45 mins via Google meet)
• Live Coding Challenge w/ another Sr. Engineer (90 minutes via Google meet)
• Final Management Meeting w/ SLT(45 minutes via Google meet)

Before we extend any offers, all candidates must successfully complete a standard background check in addition to a reference check. These checks are conducted in tandem to ensure a safe, secure, and compliant environment for all Clerkie team members and stakeholders.

AI & Interview Assessments

At Clerkie, we embrace AI and use it throughout our day-to-day work. We value people who thoughtfully leverage modern tools to learn, build, and solve problems more effectively.

Our interview process is designed to evaluate each candidate’s own technical thinking, communication, and problem-solving approach. To help ensure every candidate is assessed fairly, consistently, and under the same conditions, we ask candidates not to use external problem-solving resources during live interviews or technical assessments unless we explicitly state otherwise. This includes AI assistants, interview assistants, search engines, and other third-party resources. You’re welcome to reference any documentation or materials that we provide as part of the interview.

This expectation does not apply to approved interview accommodations or assistive technologies. If you require a reasonable accommodation at any stage of our hiring process, please let us know. We’re committed to providing an accessible and equitable interview experience for all candidates.

If this interview expectation is not followed, we may conclude the assessment and discontinue the interview process.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn’t ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship...

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models.

Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at...

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

AI Engineer – Campus and Graduate Level

Experience: 1–3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles

Location: [Location / Hybrid / Remote]

Reports to: Agentic AI Architect / Senior Forward Deployed AI Engineer

Why NewRocket

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners—uniquely focused on enabling enterprises to adopt AI they trust and that delivers lasting business value.

NewRocket is also a proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

As an early-career AI Engineer at NewRocket, you will have the opportunity to learn and apply these emerging enterprise AI practices while helping build practical solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, and business workflows.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking a hands-on AI Engineer – Campus and Graduate Level to support the design, development, testing, and deployment of AI-enabled solutions for enterprise clients.

This role is ideal for an early-career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high-impact applications of AI—including Claude-powered applications, agentic workflows, intelligent automations, retrieval-augmented generation (RAG), and ServiceNow-based solutions.

You will work closely with AI engineers, product managers, data scientists, platform teams, and client-facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use-case discovery and proof-of-concept development through production rollout, evaluation, monitoring, and continuous improvement.

Travel to clients and conferences as needed.

Key Responsibilities

AI Solution Development

• Assist in building, testing, maintaining, and documenting AI-enabled applications, workflows, and reusable accelerators.
• Develop prototypes and proof-of-concepts using generative AI, large language models (LLMs), including Claude and other model providers as appropriate, RAG, APIs, and workflow automation tools.
• Support the development of agentic AI solutions that can use enterprise context, call approved tools or APIs, and help orchestrate enterprise processes.
• Assist with prompt and context engineering, including instruction design, examples, structured inputs, response formatting, and output constraints.
• Help build AI applications using structured outputs, tool use/function calling, human-in-the-loop review, and workflow orchestration patterns.
• Help integrate AI capabilities with enterprise platforms, including ServiceNow, where applicable.
• Write clean, maintainable, secure, and well-documented code following engineering best practices.

Retrieval, Data, Evaluation & Quality

• Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions.
• Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources and data.
• Help assess model and workflow performance across accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience.
• Assist with the development of test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications.
• Support techniques that improve reliability and user trust, such as output validation, citation or source-grounding patterns, fallback handling, confidence thresholds, and escalation workflows.
• Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production solutions.

Responsible AI & Security

• Apply responsible AI principles in the development and testing of AI solutions, including awareness of model limitations, hallucinations, bias, privacy, and appropriate human oversight.
• Help implement safeguards for sensitive data, access controls, authorized data use, prompt-injection risks, and unsafe or unintended tool execution.
• Support human-in-the-loop workflows for sensitive, high-impact, low-confidence, or exception-based AI decisions.
• Document solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders.

Cross-Functional Collaboration

• Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions.
• Participate in requirements gathering, solution-design sessions, sprint planning, code reviews, and retrospectives.
• Support client-facing teams with technical research, demos, proof-of-concept development, and implementation activities.
• Communicate technical concepts, solution behavior, and findings clearly to both technical and non-technical stakeholders.
• Contribute to internal documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge-sharing sessions.

AI Innovation & Research

• Stay current on emerging AI technologies, frameworks, Anthropic and Claude capabilities, and enterprise use cases.
• Complete relevant Anthropic training, partner enablement, and technical education opportunities as available through NewRocket’s partnership.
• Research opportunities to apply generative and agentic AI to improve operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows.
• Contribute ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements.

Required Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• 1–3 years of relevant experience through internships, co-ops, research, freelance work, academic projects, or professional roles.
• Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages.
• Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud-based applications.
• Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts.
• Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation.
• Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services.
• Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment.
• Strong problem-solving skills, curiosity, attention to detail, and willingness to learn in a fast-paced environment.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience building AI, automation, chatbot, workflow-based, or data-driven projects through coursework, research, internships, hackathons, or personal projects.
• Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude-focused implementation guidance.
• Experience using LLM APIs to build conversational AI, document-processing, summarization, search, knowledge-assistant, or workflow-automation applications.
• Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human-in-the-loop workflow design.
• Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources.
• Experience working in an agile software-development environment.
• Interest in enterprise consulting, digital transformation, and applying AI to real-world business challenges.

What You Will Gain

• Hands-on experience building enterprise-grade generative and agentic AI solutions, including Claude-powered applications where appropriate.
• Exposure to Anthropic-aligned practices for prompt and context engineering, RAG, tool use, structured outputs, model evaluation, and responsible AI.
• Experience across the end-to-end lifecycle of AI product and solution development—from discovery and prototyping to deployment, monitoring, and continuous improvement.
• Mentorship from experienced AI, engineering, product, ServiceNow, and consulting professionals.
• Opportunities to contribute to client-facing proofs-of-concept, reusable AI accelerators, Agent Packs, and production implementations.
• A strong foundation for a career in AI engineering, software development, data science, enterprise technology consulting, or AI product development.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

AI Engineer – Campus and Graduate Level

Experience: 1–3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles

Location: [Location / Hybrid / Remote] Travel to clients and conferences as needed.

Reports to: Agentic AI Architect / Senior Forward Deployed AI Engineer

Why NewRocket

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners—uniquely focused on enabling enterprises to adopt AI they trust and that delivers lasting business value.

NewRocket is also a proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

As an early-career AI Engineer at NewRocket, you will have the opportunity to learn and apply these emerging enterprise AI practices while helping build practical solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, and business workflows.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking a hands-on AI Engineer – Campus and Graduate Level to support the design, development, testing, and deployment of AI-enabled solutions for enterprise clients.

This role is ideal for an early-career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high-impact applications of AI—including Claude-powered applications, agentic workflows, intelligent automations, retrieval-augmented generation (RAG), and ServiceNow-based solutions.

You will work closely with AI engineers, product managers, data scientists, platform teams, and client-facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use-case discovery and proof-of-concept development through production rollout, evaluation, monitoring, and continuous improvement.

Travel to clients and conferences as needed.

Key Responsibilities

AI Solution Development

• Assist in building, testing, maintaining, and documenting AI-enabled applications, workflows, and reusable accelerators.
• Develop prototypes and proof-of-concepts using generative AI, large language models (LLMs), including Claude and other model providers as appropriate, RAG, APIs, and workflow automation tools.
• Support the development of agentic AI solutions that can use enterprise context, call approved tools or APIs, and help orchestrate enterprise processes.
• Assist with prompt and context engineering, including instruction design, examples, structured inputs, response formatting, and output constraints.
• Help build AI applications using structured outputs, tool use/function calling, human-in-the-loop review, and workflow orchestration patterns.
• Help integrate AI capabilities with enterprise platforms, including ServiceNow, where applicable.
• Write clean, maintainable, secure, and well-documented code following engineering best practices.

Retrieval, Data, Evaluation & Quality

• Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions.
• Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources and data.
• Help assess model and workflow performance across accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience.
• Assist with the development of test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications.
• Support techniques that improve reliability and user trust, such as output validation, citation or source-grounding patterns, fallback handling, confidence thresholds, and escalation workflows.
• Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production solutions.

Responsible AI & Security

• Apply responsible AI principles in the development and testing of AI solutions, including awareness of model limitations, hallucinations, bias, privacy, and appropriate human oversight.
• Help implement safeguards for sensitive data, access controls, authorized data use, prompt-injection risks, and unsafe or unintended tool execution.
• Support human-in-the-loop workflows for sensitive, high-impact, low-confidence, or exception-based AI decisions.
• Document solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders.

Cross-Functional Collaboration

• Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions.
• Participate in requirements gathering, solution-design sessions, sprint planning, code reviews, and retrospectives.
• Support client-facing teams with technical research, demos, proof-of-concept development, and implementation activities.
• Communicate technical concepts, solution behavior, and findings clearly to both technical and non-technical stakeholders.
• Contribute to internal documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge-sharing sessions.

AI Innovation & Research

• Stay current on emerging AI technologies, frameworks, Anthropic and Claude capabilities, and enterprise use cases.
• Complete relevant Anthropic training, partner enablement, and technical education opportunities as available through NewRocket’s partnership.
• Research opportunities to apply generative and agentic AI to improve operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows.
• Contribute ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements.

Required Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• 1–3 years of relevant experience through internships, co-ops, research, freelance work, academic projects, or professional roles.
• Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages.
• Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud-based applications.
• Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts.
• Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation.
• Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services.
• Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment.
• Strong problem-solving skills, curiosity, attention to detail, and willingness to learn in a fast-paced environment.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience building AI, automation, chatbot, workflow-based, or data-driven projects through coursework, research, internships, hackathons, or personal projects.
• Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude-focused implementation guidance.
• Experience using LLM APIs to build conversational AI, document-processing, summarization, search, knowledge-assistant, or workflow-automation applications.
• Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human-in-the-loop workflow design.
• Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources.
• Experience working in an agile software-development environment.
• Interest in enterprise consulting, digital transformation, and applying AI to real-world business challenges.

What You Will Gain

• Hands-on experience building enterprise-grade generative and agentic AI solutions, including Claude-powered applications where appropriate.
• Exposure to Anthropic-aligned practices for prompt and context engineering, RAG, tool use, structured outputs, model evaluation, and responsible AI.
• Experience across the end-to-end lifecycle of AI product and solution development—from discovery and prototyping to deployment, monitoring, and continuous improvement.
• Mentorship from experienced AI, engineering, product, ServiceNow, and consulting professionals.
• Opportunities to contribute to client-facing proofs-of-concept, reusable AI accelerators, Agent Packs, and production implementations.
• A strong foundation for a career in AI engineering, software development, data science, enterprise technology consulting, or AI product development.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

AI Engineer – Campus and Graduate Level

Experience: 1–3 years of relevant experience through internships, academic projects, research, freelance work, or professional roles

Location: [Location / Hybrid / Remote]

Reports to: Agentic AI Architect / Senior Forward Deployed AI Engineer

Why NewRocket

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners—uniquely focused on enabling enterprises to adopt AI they trust and that delivers lasting business value.

NewRocket is also a proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

As an early-career AI Engineer at NewRocket, you will have the opportunity to learn and apply these emerging enterprise AI practices while helping build practical solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, and business workflows.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking a hands-on AI Engineer – Campus and Graduate Level to support the design, development, testing, and deployment of AI-enabled solutions for enterprise clients.

This role is ideal for an early-career engineer with foundational experience in software development, data, and generative AI who is eager to work on practical, high-impact applications of AI—including Claude-powered applications, agentic workflows, intelligent automations, retrieval-augmented generation (RAG), and ServiceNow-based solutions.

You will work closely with AI engineers, product managers, data scientists, platform teams, and client-facing consultants to prototype and deliver scalable AI capabilities. You will gain exposure to the full AI solution lifecycle, from use-case discovery and proof-of-concept development through production rollout, evaluation, monitoring, and continuous improvement.

Travel to clients and conferences as needed.

Key Responsibilities

AI Solution Development

• Assist in building, testing, maintaining, and documenting AI-enabled applications, workflows, and reusable accelerators.
• Develop prototypes and proof-of-concepts using generative AI, large language models (LLMs), including Claude and other model providers as appropriate, RAG, APIs, and workflow automation tools.
• Support the development of agentic AI solutions that can use enterprise context, call approved tools or APIs, and help orchestrate enterprise processes.
• Assist with prompt and context engineering, including instruction design, examples, structured inputs, response formatting, and output constraints.
• Help build AI applications using structured outputs, tool use/function calling, human-in-the-loop review, and workflow orchestration patterns.
• Help integrate AI capabilities with enterprise platforms, including ServiceNow, where applicable.
• Write clean, maintainable, secure, and well-documented code following engineering best practices.

Retrieval, Data, Evaluation & Quality

• Support data preparation, document ingestion, chunking, embedding, retrieval, prompt development, evaluation, and testing activities for AI solutions.
• Assist with RAG solutions that ground AI responses in authorized enterprise knowledge sources and data.
• Help assess model and workflow performance across accuracy, relevance, groundedness, reliability, latency, cost, safety, and user experience.
• Assist with the development of test cases, evaluation datasets, monitoring approaches, and feedback loops for AI applications.
• Support techniques that improve reliability and user trust, such as output validation, citation or source-grounding patterns, fallback handling, confidence thresholds, and escalation workflows.
• Identify issues, document findings, and contribute to iterative improvements across AI prototypes and production solutions.

Responsible AI & Security

• Apply responsible AI principles in the development and testing of AI solutions, including awareness of model limitations, hallucinations, bias, privacy, and appropriate human oversight.
• Help implement safeguards for sensitive data, access controls, authorized data use, prompt-injection risks, and unsafe or unintended tool execution.
• Support human-in-the-loop workflows for sensitive, high-impact, low-confidence, or exception-based AI decisions.
• Document solution behavior, known limitations, test results, and operational considerations for internal teams and client stakeholders.

Cross-Functional Collaboration

• Collaborate with product, engineering, design, data science, ServiceNow platform, and consulting teams to translate business needs into technical solutions.
• Participate in requirements gathering, solution-design sessions, sprint planning, code reviews, and retrospectives.
• Support client-facing teams with technical research, demos, proof-of-concept development, and implementation activities.
• Communicate technical concepts, solution behavior, and findings clearly to both technical and non-technical stakeholders.
• Contribute to internal documentation, technical playbooks, reusable components, prompt libraries, evaluation assets, and knowledge-sharing sessions.

AI Innovation & Research

• Stay current on emerging AI technologies, frameworks, Anthropic and Claude capabilities, and enterprise use cases.
• Complete relevant Anthropic training, partner enablement, and technical education opportunities as available through NewRocket’s partnership.
• Research opportunities to apply generative and agentic AI to improve operational efficiency, employee experiences, customer service, knowledge management, and enterprise workflows.
• Contribute ideas for new AI capabilities, reusable intellectual property, Agent Packs, accelerators, and product enhancements.

Required Qualifications

• Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related technical discipline.
• 1–3 years of relevant experience through internships, co-ops, research, freelance work, academic projects, or professional roles.
• Experience with one or more programming languages, preferably Python, JavaScript/TypeScript, Java, or similar languages.
• Foundational understanding of software engineering concepts, APIs, databases, source control, and cloud-based applications.
• Exposure to generative AI, LLMs, prompt engineering, machine learning, data science, or automation concepts.
• Familiarity with LLM application concepts such as context windows, token usage, embeddings, vector search, RAG, tool use/function calling, structured outputs, and model evaluation.
• Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services.
• Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment.
• Strong problem-solving skills, curiosity, attention to detail, and willingness to learn in a fast-paced environment.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience building AI, automation, chatbot, workflow-based, or data-driven projects through coursework, research, internships, hackathons, or personal projects.
• Exposure to Claude, the Anthropic API, Anthropic Console, Anthropic Academy learning, or Claude-focused implementation guidance.
• Experience using LLM APIs to build conversational AI, document-processing, summarization, search, knowledge-assistant, or workflow-automation applications.
• Understanding of RAG, vector databases, embeddings, semantic retrieval, AI agents, tool use, or human-in-the-loop workflow design.
• Familiarity with ServiceNow, including platform development, workflow automation, Virtual Agent, Predictive Intelligence, Now Assist, AI Agents, IntegrationHub, or Flow Designer.
• Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Familiarity with Model Context Protocol (MCP) concepts, secure API integration patterns, or connecting AI applications to enterprise tools and data sources.
• Experience working in an agile software-development environment.
• Interest in enterprise consulting, digital transformation, and applying AI to real-world business challenges.

What You Will Gain

• Hands-on experience building enterprise-grade generative and agentic AI solutions, including Claude-powered applications where appropriate.
• Exposure to Anthropic-aligned practices for prompt and context engineering, RAG, tool use, structured outputs, model evaluation, and responsible AI.
• Experience across the end-to-end lifecycle of AI product and solution development—from discovery and prototyping to deployment, monitoring, and continuous improvement.
• Mentorship from experienced AI, engineering, product, ServiceNow, and consulting professionals.
• Opportunities to contribute to client-facing proofs-of-concept, reusable AI accelerators, Agent Packs, and production implementations.
• A strong foundation for a career in AI engineering, software development, data science, enterprise technology consulting, or AI product development.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability...

Company Description

For over 30 years, Version 1 has been a leading Oracle partner specialising in Enterprise Applications, delivering ERP, HCM and EPM solutions that enable organisations to transform and modernise their core systems.

Combining deep domain expertise with end-to-end delivery and managed services, we support some of the UK and Ireland’s largest organisations in driving business value through Oracle technology.

• Top-tier Oracle partner across Database, Platform, ERP, and Managed Services
• 37 UKOUG awards over the last 3 years
• 13 awards - UK Oracle User Group (UKOUG) Community Awards 2026 (4 Gold, 5 Silver, 4 Bronze)
• Certified Great Place to Work
• Recognised as a leader in AI & digital transformation consulting with global delivery footprint

With 3,800+ people and revenues exceeding €347m/£302m, Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe.

Job Description

About the Programme

This trainee role is designed for early-career technologists who want to build a career in Oracle Cloud delivery. No prior Oracle experience is required. We provide structured training, certification sponsorship, and mentoring from experienced consultants and architects.

You will begin by supporting live client projects under supervision and progressively develop the skills and confidence to deliver independently.

Eligibility: Candidates must have the legal right to work in the UK at the time of application. Candidates must also be eligible to obtain the required security clearance, which typically requires a minimum of three consecutive years of UK residency immediately prior to the date of application.

Based on your aptitude, interests, and business needs, you will join one of two specialisation streams.

• Data Migration & Reporting
• Integrations & Extensions

What You Will Learn and Do

Core Foundations (All Trainees)

All trainees will develop a strong foundation in:

• Oracle Fusion Cloud fundamentals across ERP and HCM
• Technical documentation and project delivery standards
• Working within delivery teams on real client programmes
• Data security, governance, and quality best practices
• Version control using Git

Stream A: Data Migration & Reporting

You will gain hands-on experience in:

• Loading and validating data in Oracle Fusion using FBDI and HDL
• Building reports and dashboards using BI Publisher (BIP) and OTBI
• Extracting and analysing data using BICC
• Writing SQL queries to validate and reconcile datasets
• Ensuring data quality, accuracy, and auditability across environments

Stream B: Integrations & Extensions

You will gain hands-on experience in:

• Building integrations using Oracle Integration Cloud (OIC)
• Consuming and configuring REST and SOAP APIs
• Developing simple user interfaces using Visual Builder (VBCS)
• Creating backend solutions using Oracle APEX and PL/SQL
• Monitoring integrations and troubleshooting common errors

What We Look For

Aptitude and attitude matter more than experience.

What We Offer

• A structured training pathway into Oracle Cloud consulting and delivery
• Sponsored Oracle certifications and continuous learning opportunities
• Mentoring from experienced consultants, architects, and delivery leaders
• Clear career progression towards Consultant and Senior Consultant roles
• Hybrid working with a Northern Ireland base
• Opportunities to work on large-scale transformation programmes for leading organisations
• A collaborative and supportive learning environment where you can develop both technical and consulting skills

Qualifications

Essential Requirements

• Degree in Computer Science, Engineering, Information Technology, or a related discipline; alternatively, demonstrable technical aptitude through projects, apprenticeships, bootcamps, or self-study
• Basic knowledge of at least one programming or scripting language (such as SQL, Java, Python, or JavaScript)
• Strong analytical and problem-solving skills with excellent attention to detail
• Effective written and verbal communication skills
• A willingness to learn Oracle Cloud technologies and work towards Oracle certifications
• Right to work in the UK and eligibility to obtain security clearance (where required).

Desirable Skills and Experience

• Any exposure to databases or SQL
• Any exposure to APIs, cloud platforms, or reporting tools
• Placement year, internship, or project work in software or data

Additional Information

Why Version 1?

You will:

• Join a global Oracle practice of 700+ specialists, supported by 500+ certified professionals across the Oracle ecosystem.
• Work on large-scale, multi-pillar Oracle Cloud transformation programmes for some of the UK’s most recognised organisations.
• Collaborate with a high-performing, market-leading Oracle team renowned for delivering complex enterprise transformation projects.
• Be part of an organisation that provides end-to-end Oracle services, including consulting and advisory, implementation, integration, cloud infrastructure, and managed services.
• Leverage our deep Oracle Cloud Infrastructure (OCI) expertise to deliver scalable, secure, and high-performing cloud solutions for enterprise clients.
• Accelerate your career through our Strength in Balance and leadership development programmes, supported by quarterly Pathways career reviews.
• Benefit from a substantial training and certification budget, helping you stay at the forefront of Oracle technologies and industry best practices.
• Enjoy meaningful recognition through our Annual Excellence Awards, Call-Out recognition platform, and quarterly profit-share scheme.
• Influence testing strategy, delivery quality, and business outcomes across some of the UK’s most significant ERP transformation programmes.
• Work with prestigious clients, including organisations such as the Bank of England and Birmingham City Council.
• Take advantage of our flexible hybrid working model, combining remote delivery with occasional client or hub-based collaboration.
• Access enhanced wellbeing and family support through our maternity, paternity, and Moments that Matter policies.
• Be part of a purpose-driven culture with opportunities to contribute to ESG, CSR, DEI, volunteering, and community initiatives that create a positive social impact.

At Version 1, you’ll combine industry-leading Oracle expertise, meaningful career progression, and the opportunity to deliver transformational outcomes for some of the world’s most recognised organisations.

Benefits include:

• Quarterly performance-related profit share
• Hybrid / Remote working flexibility
• Pension, private healthcare, life assurance cover
• Certified Great Place to Work for 10+ years running.

This is hybrid based with occasional travel to your nearest base office.

Krish Bharadwaj, Global Talent Acquisition – Enterprise Applications (Oracle Cloud - ERP, HCM, EPM)

#LI-KB1

About Us:-

Prometheum is building the market infrastructure that brings securities onto the blockchain. Our SEC-registered broker-dealer network carries a digital asset through its entire life, from issuance and distribution to qualified custody, correspondent clearing, and secondary market trading, all within U.S. securities law.

That work has put us first more than once. We became the first SEC-registered special purpose broker-dealer, and the first to trade ETH inside a traditional brokerage account. Those milestones rest on systems our engineers build every day, and we are searching for engineers like you to help us grow our team.

Role:-

Software Engineer 1 (Full-Stack) - Full Time W2

Salary Range:-

$90,000 to $120,000 + stock options

Overview:-

This is an early-career role for an engineer who wants to grow quickly on a production system where quality matters and the regulatory stakes are real.

As a Software Engineer 1, your job is to build and ship. You will work across our TypeScript/Node back end and React front end, starting with small, clearly defined pieces of work and taking on more as your understanding of the system grows. You will have a dedicated onboarding buddy, a team lead who meets with you weekly, and teammates who pair with you rather than leaving you to figure it out alone.

Our engineering team is fully remote.

Responsibilities:-

• Ship work across the stack, from bug fixes and small features to test coverage and tech debt, with support from senior engineers
• Use AI coding tools as a default part of your workflow, and review what they produce with the same rigor you would apply to your own code
• Trace real requests end-to-end (front end, API, services, database) and build a working mental model of how custody, clearing, and trading fit together
• Participate in code review, first as a learner asking questions, then as a reviewer who catches edge cases and test gaps
• Take part in all scrum ceremonies: refinement, sprint kick-off, standup, demos, and retro
• Work directly with Product, QA, and UX to clarify requirements, reproduce bugs, and ask design questions
• Investigate and resolve QA/UAT issues, pairing when you need to

Qualifications:-

• Up to 2 years of professional software engineering experience
• Working knowledge of JavaScript or TypeScript, and comfort with at least one of Node.js (back end) or React (front end)
• Hands-on experience with AI coding assistants, plus the judgment to know when their output is wrong
• Familiarity with relational databases and writing SQL
• Comfort with git-based workflows: branch, PR, review, CI
• Clear written communication, with a strong command of the English language
• The instinct to ask for help at the right time
• Authorized to work in the U.S. or Canada
• Able to pass a comprehensive background check, which is required for this role

Nice to have:-

• Exposure to microservices, Docker, or cloud platforms (AWS)
• Automated testing experience
• Any background in finance, brokerage, trading, or blockchain. Genuine curiosity counts more than credentials here.
• Experience with Jira, Confluence, or similar

How we work:-

• Fully remote engineering. We work together in real time, with overlapping hours for pairing, reviews, and ceremonies.
• AI-forward. We actively champion AI and tooling that ships customer value faster without giving up quality. Engineers at every level are expected to use these tools well and to bring what they find back to the team.
• Feedback is specific and regular. Quarterly reviews, weekly 1:1s, and a candid conversation when something is not landing, not a surprise at year end.
• Product-led mindset. We measure work by its impact on customers, not volume shipped.

Benefits:-

• Health, dental, vision, disability, and life insurance
• Stock options
• Competitive vacation time, paid sick days, and time off for observed federal holidays
• Equipment provided

Prometheum is an equal opportunity employer. We believe a wide range of perspectives is integral to building a platform that meets the highest regulatory standards while delivering an exceptional user experience. We encourage applications from candidates of all backgrounds.

Company Description

For over 30 years, Version 1 has been a leading Oracle partner specialising in Enterprise Applications, delivering ERP, HCM and EPM solutions that enable organisations to transform and modernise their core systems.

Combining deep domain expertise with end-to-end delivery and managed services, we support some of the UK and Ireland’s largest organisations in driving business value through Oracle technology.

• Top-tier Oracle partner across Database, Platform, ERP, and Managed Services
• 37 UKOUG awards over the last 3 years
• 13 awards - UK Oracle User Group (UKOUG) Community Awards 2026 (4 Gold, 5 Silver, 4 Bronze)
• Certified Great Place to Work
• Recognised as a leader in AI & digital transformation consulting with global delivery footprint

With 3,800+ people and revenues exceeding €347m/£302m, Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe.

Job Description

About the Programme

This trainee role is designed for early-career technologists who want to build a career in Oracle Cloud delivery. No prior Oracle experience is required. We provide structured training, certification sponsorship, and mentoring from experienced consultants and architects.

You will begin by supporting live client projects under supervision and progressively develop the skills and confidence to deliver independently.

Eligibility: Candidates must have the legal right to work in the UK at the time of application. Candidates must also be eligible to obtain the required security clearance, which typically requires a minimum of three consecutive years of UK residency immediately prior to the date of application.

Based on your aptitude, interests, and business needs, you will join one of two specialisation streams.

• Data Migration & Reporting
• Integrations & Extensions

What You Will Learn and Do

Core Foundations (All Trainees)

All trainees will develop a strong foundation in:

• Oracle Fusion Cloud fundamentals across ERP and HCM
• Technical documentation and project delivery standards
• Working within delivery teams on real client programmes
• Data security, governance, and quality best practices
• Version control using Git

Stream A: Data Migration & Reporting

You will gain hands-on experience in:

• Loading and validating data in Oracle Fusion using FBDI and HDL
• Building reports and dashboards using BI Publisher (BIP) and OTBI
• Extracting and analysing data using BICC
• Writing SQL queries to validate and reconcile datasets
• Ensuring data quality, accuracy, and auditability across environments

Stream B: Integrations & Extensions

You will gain hands-on experience in:

• Building integrations using Oracle Integration Cloud (OIC)
• Consuming and configuring REST and SOAP APIs
• Developing simple user interfaces using Visual Builder (VBCS)
• Creating backend solutions using Oracle APEX and PL/SQL
• Monitoring integrations and troubleshooting common errors

What We Look For

Aptitude and attitude matter more than experience.

What We Offer

• A structured training pathway into Oracle Cloud consulting and delivery
• Sponsored Oracle certifications and continuous learning opportunities
• Mentoring from experienced consultants, architects, and delivery leaders
• Clear career progression towards Consultant and Senior Consultant roles
• Hybrid working with a Northern Ireland base
• Opportunities to work on large-scale transformation programmes for leading organisations
• A collaborative and supportive learning environment where you can develop both technical and consulting skills

Qualifications

Essential Requirements

• Degree in Computer Science, Engineering, Information Technology, or a related discipline; alternatively, demonstrable technical aptitude through projects, apprenticeships, bootcamps, or self-study
• Basic knowledge of at least one programming or scripting language (such as SQL, Java, Python, or JavaScript)
• Strong analytical and problem-solving skills with excellent attention to detail
• Effective written and verbal communication skills
• A willingness to learn Oracle Cloud technologies and work towards Oracle certifications
• Right to work in the UK and eligibility to obtain security clearance (where required).

Desirable Skills and Experience

• Any exposure to databases or SQL
• Any exposure to APIs, cloud platforms, or reporting tools
• Placement year, internship, or project work in software or data

Additional Information

Why Version 1?

You will:

• Join a global Oracle practice of 700+ specialists, supported by 500+ certified professionals across the Oracle ecosystem.
• Work on large-scale, multi-pillar Oracle Cloud transformation programmes for some of the UK’s most recognised organisations.
• Collaborate with a high-performing, market-leading Oracle team renowned for delivering complex enterprise transformation projects.
• Be part of an organisation that provides end-to-end Oracle services, including consulting and advisory, implementation, integration, cloud infrastructure, and managed services.
• Leverage our deep Oracle Cloud Infrastructure (OCI) expertise to deliver scalable, secure, and high-performing cloud solutions for enterprise clients.
• Accelerate your career through our Strength in Balance and leadership development programmes, supported by quarterly Pathways career reviews.
• Benefit from a substantial training and certification budget, helping you stay at the forefront of Oracle technologies and industry best practices.
• Enjoy meaningful recognition through our Annual Excellence Awards, Call-Out recognition platform, and quarterly profit-share scheme.
• Influence testing strategy, delivery quality, and business outcomes across some of the UK’s most significant ERP transformation programmes.
• Work with prestigious clients, including organisations such as the Bank of England and Birmingham City Council.
• Take advantage of our flexible hybrid working model, combining remote delivery with occasional client or hub-based collaboration.
• Access enhanced wellbeing and family support through our maternity, paternity, and Moments that Matter policies.
• Be part of a purpose-driven culture with opportunities to contribute to ESG, CSR, DEI, volunteering, and community initiatives that create a positive social impact.

At Version 1, you’ll combine industry-leading Oracle expertise, meaningful career progression, and the opportunity to deliver transformational outcomes for some of the world’s most recognised organisations.

Benefits include:

• Quarterly performance-related profit share
• Hybrid / Remote working flexibility
• Pension, private healthcare, life assurance cover
• Certified Great Place to Work for 10+ years running.

This is hybrid based with occasional travel to your nearest base office.

Krish Bharadwaj, Global Talent Acquisition – Enterprise Applications (Oracle Cloud - ERP, HCM, EPM)

#LI-KB1

Mactores is the agent-native AWS modernization firm. Most modernization work doesn’t ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship...

Company Description

Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets.

Tire solutions from the Tires group sector make mobility safer, smarter, and more sustainable. Its premium portfolio encompasses car, truck, bus, two-wheel, and specialty tires as well as smart solutions and services for fleets and tire retailers. Continental has been delivering top performance for more than 150 years and is one of the world’s largest tire manufacturers. In fiscal year 2025, the Tires group sector generated sales of 13.8 billion euros. Continental’s tire division employs more than 55,000 people worldwide and has 19 production and 16 development sites.

Job Description

The Circularity and Innovative Technology department at our Hannover-Stöcken site is responsible, among other things, for the investigation, evaluation, and development of innovative tire manufacturing processes. We support our partners in turning their ideas for new products and manufacturing technologies into reality by providing a creative environment and the necessary methods and tools. We are looking for a full time intern (m/f/diverse), starting in September 2026 for at least 5 months of internship.

Your Tasks:

• Concept development, design, and engineering of test fixtures and experimental equipment
• Manufacturing components using 3D printing technologies
• Assembly and commissioning of mechanical and pneumatic systems and subassemblies
• Execution of tests and experiments, including documentation of results
• Continuous optimization and improvement of test fixtures and equipment

Qualifications

• Ongoing studies in Mechanical Engineering, Mechatronics, or a related field, ideally with a focus on Design Engineering and Product Development
• Proficient in Autodesk Inventor for 3D design and technical documentation
• Experience with 3D printing technologies and additive manufacturing processes
• Basic practical knowledge of mechanical, pneumatic and electrical components, including assembly and integration
• Good knowledge of Microsoft Office applications (Excel, PowerPoint, Word)
• Good command of German and English, written and spoken
• Strong interest in technical solutions, engineering challenges, and emerging technologies
• Creative mindset with a curious and innovative approach to problem-solving
• Effective communication and teamwork skills in an international environment

Please upload the following documents (mandatory):

• For a compulsory internship: the study regulations with the required duration clearly highlighted

• Current certificate of enrollment

• Current transcript of records

If required, additionally:

• Valid residence permit

• Work permit including supplementary sheet

Applications from persons with severe disabilities are welcome.

Additional Information

• Fair compensation for your contribution: We know your work is valuable and want to make sure you are compensated fairly.
• Flexibility that fits your life: We offer flexible working hours with hybrid working models, giving you the opportunity to occasionally work from home – because we know how important the balance between personal and professional life is.
• Meaningful knowledge transfer: You will receive qualified support from our experienced professionals to develop your technical knowledge and practical skills.
• Saving made easy: Benefit from a wide range of discounts and special offers through our corporate benefits program, covering various brands – from fashion and leisure activities to technology products.
• Stay fit & healthy: We support you with initiatives focused on health and well-being, such as selected fitness and preventive care programs.
• More flavor, less cost: As a student, you receive an additional discount in our company cafeteria.
• A work environment that embraces diversity: Look forward to working in a diverse and international environment through collaboration with our global locations.

For more information about the employee benefits you can expect at Continental, please visit our benefits page. If you would like to learn more about our location, feel free to visit our site page: Continental Hannover Stöcken / Hannover Corporate Headquarters.

Diversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

If this sounds like a perfect match for you and if you want to become the next supporter of our core values : Trust, for one another, passion to win and freedom to act - we are looking forward to receiving your application.

Ready to drive with Continental? Take the first step and fill in the online application.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn’t ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship...

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives...