Industry Placement – Software Engineering
Listed on 2026-02-01
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Software Development
Software Engineer, Cloud Engineer - Software, Full Stack Developer
Year in Industry Placement – Software Engineering
This Year in Industry Software Engineering placement offers the chance to work on a real, production AI platform used by enterprise organisations in regulated industries. At Rainbird, you will join our engineering team and contribute directly to the development of our low-code SaaS platform, building features, improving performance, and learning how complex software systems are designed, tested, and deployed in practice.
This is not a shadowing role. You will write code, collaborate in an agile team, and gain hands-on experience across modern web technologies, cloud infrastructure, and applied AI, supported by experienced engineers throughout your placement.
Contract Type: Fixed Term, Full Time (9-12 months)
Location: Remote (UK) with optional Norwich office access
Start Date: Summer 2025 (flexible)
About RainbirdRainbird Technologies is an innovative artificial intelligence scale-up based in Norwich. We empower organisations to automate high-stakes decisions that are deterministic, consistent and fully explainable.
Using our award-winning low-code SaaS platform, users can build, test and refine knowledge graphs used by our reasoning engine, integrating these into their products, processes and services to deliver AI decisions they can trust.
We work with leading organisations across banking, insurance, tax, healthcare and legal sectors, helping them transform complex decision-making processes into scalable, auditable solutions.
The OpportunityWe are seeking a Year in Industry placement student to join our engineering team. This is a genuine opportunity to contribute to a production platform used by enterprise clients worldwide, not just shadowing or peripheral tasks.
You’ll be embedded in our agile engineering team, working on real features and improvements to the Rainbird platform. Throughout your placement, you’ll receive mentorship and support to help you develop your technical skills, understand professional software development practices, and build a portfolio of meaningful work.
This placement is ideal for students studying Computer Science, Software Engineering, or related disciplines who want practical experience in full-stack development, cloud infrastructure, and AI technologies.
What You’ll DoDuring your placement, you’ll have the opportunity to:
- Contribute to the development and maintenance of features across our platform, working with React on the frontend and Node.js/Go on the backend
- Participate in our agile development process, including sprint planning, daily standups, and retrospectives
- Learn and apply Dev Ops practices, including CI/CD pipelines and infrastructure-as-code
- Collaborate with experienced engineers through code reviews and pair programming sessions
- Help troubleshoot and resolve platform issues, developing your debugging and problem-solving skills
- Work on documentation and testing to improve platform quality and reliability
- Contribute to internal innovation projects, potentially including LLM integrations and emerging AI capabilities
- Take ownership of specific projects or features appropriate to your developing skills
- Currently studying towards a degree in Computer Science, Software Engineering, or a related discipline
- Enrolled on a course with an accredited Year in Industry or industrial placement year
- Foundational knowledge of programming concepts and at least one programming language
- Genuine enthusiasm for learning and problem-solving
- Good communication skills and ability to work collaboratively in a team
- Self-motivated with the ability to manage your time effectively in a remote-first environment
- Exposure to version control systems (Git)
- Interest in AI, machine learning, or knowledge-based systems
- Personal projects, contributions to open source, or a Git Hub portfolio
- Experience with cloud platforms (AWS, Azure, or similar)
- Work at the frontier of AI, logic-based reasoning, and decision automation
- Gain genuine, hands-on experience contributing to a production platform
- Be mentored by experienced engineers in a supportive, collaborative environment
- Shape the future of a rapidly growing, mission-driven tech…
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