This job is no longer available
This job expired on 26/09/2026. It no longer accepts applications.
AI Fullstack Engineer – Insurance Solutions
SRG · London
Job description
About the role
We are seeking an experienced AI Fullstack Engineer to join our high‑performing technology team delivering AI‑enabled solutions for insurance applications. The role is hands‑on, covering the entire development lifecycle from Angular front‑end work to .NET/C# backend services, databases and AI‑driven automation.
Key responsibilities
- Design, develop and maintain full‑stack applications using modern engineering practices.
- Build scalable backend services, APIs and distributed systems.
- Develop AI‑powered features, workflows and automation across business applications.
- Work across the stack – Angular front‑end.NET/C# services and SQL databases.
- Optimise performance, scalability and reliability through analysis and tuning.
- Collaborate with product, architecture and business stakeholders to deliver high‑quality solutions.
- Support CI/CD pipelines, deployment processes and DevOps best practices.
- Troubleshoot complex technical issues and contribute to production support.
- Produce clear technical documentation and share knowledge within the team.
Required profile
- Strong commercial experience with .NET and C#.
- Proven ability to develop modern Angular applications.
- Solid SQL and database development expertise.
- Full‑stack development experience across front‑end and back‑end technologies.
- Experience building and integrating APIs and micro‑services.
- Knowledge of cloud‑native and distributed architectures.
- Experience with AI integration, automation workflows or generative AI.
- Excellent problem‑solving and stakeholder communication skills.
Required skills
- .NET
- C#
- Angular
- SQL
- APIs
- Micro‑services
- Cloud‑native architectures
- AI integration (e.g., GitHub Copilot)
- CI/CD
What we offer
- 6‑month contract (inside IR35 via umbrella).
- Up to £700 per day rate.
- One day per week onsite in the City of London, hybrid working model.
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SRG
London
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