Full Stack Engineer
Posted Today by Roc Search
£550 Per day
Outside
Hybrid
Basingstoke, England, United Kingdom
Summary: The Senior / Principal Full Stack Engineer role focuses on developing and maintaining full stack applications with an emphasis on integrating Generative AI into enterprise systems. The position requires expertise in TypeScript and React, along with experience in building production-grade applications. The successful candidate will collaborate with various teams to deliver high-quality solutions while supporting the adoption of AI capabilities. This hybrid role is based in Basingstoke, UK, and offers a competitive daily rate.
Key Responsibilities:
- Design, build and maintain full stack applications, with a focus on scalable, backend-led architecture
- Develop modern web applications using TypeScript and React
- Integrate Generative AI capabilities into enterprise platforms and workflows
- Build and consume APIs, working across data pipelines and cloud-based services
- Contribute to CI/CD pipelines, automation, and engineering best practices
- Collaborate closely with product, engineering and data teams to deliver high-quality solutions
- Support the adoption and integration of AI capabilities across the wider business
Key Skills:
- Strong commercial experience as a Full Stack Engineer, with a focus on TypeScript and React
- Proven track record building production-grade systems in enterprise environments
- Hands-on experience working on commercial AI / GenAI projects (e.g. LLM integrations, embeddings, AI-enabled features)
- Experience working with APIs, microservices and modern application architectures
- Solid understanding of cloud platforms (e.g. Azure, GCP) and DevOps practices (CI/CD, containerisation)
- Ability to operate effectively within complex, cross-functional teams
Salary (Rate): £550 daily
City: Basingstoke
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Job Title: Senior / Principal Full Stack Engineer (TypeScript / React + GenAI) Location: Basingstoke, UK (Hybrid – 2 days onsite per week) Rate: £550 per day (Outside IR35) Duration: Initial 6 months (with likely extension)
Overview: We are supporting a global enterprise as they expand their platform engineering capability, with a particular focus on embedding Generative AI into core business systems. This role is positioned as a full stack engineering role first , with AI/GenAI forming a key component of the wider technology stack. The successful candidate will play a critical role in building and scaling production-grade applications, whilst integrating AI capabilities into real-world, enterprise use cases.
Key Responsibilities:
- Design, build and maintain full stack applications, with a focus on scalable, backend-led architecture
- Develop modern web applications using TypeScript and React
- Integrate Generative AI capabilities into enterprise platforms and workflows
- Build and consume APIs, working across data pipelines and cloud-based services
- Contribute to CI/CD pipelines, automation, and engineering best practices
- Collaborate closely with product, engineering and data teams to deliver high-quality solutions
- Support the adoption and integration of AI capabilities across the wider business
Key Requirements:
- Strong commercial experience as a Full Stack Engineer, with a focus on TypeScript and React
- Proven track record building production-grade systems in enterprise environments
- Hands-on experience working on commercial AI / GenAI projects (e.g. LLM integrations, embeddings, AI-enabled features)
- Experience working with APIs, microservices and modern application architectures
- Solid understanding of cloud platforms (e.g. Azure, GCP) and DevOps practices (CI/CD, containerisation)
- Ability to operate effectively within complex, cross-functional teams
Desirable Experience:
- Exposure to Python within backend or AI-related services
- Experience integrating AI capabilities into customer-facing or internal platforms
- Familiarity with MLOps principles or deploying AI solutions into production environments
- Background working in regulated or large-scale enterprise environments