Job Title
Senior / Principal Full Stack Engineer (TypeScript / React + GenAI)
Location
Basingstoke, UK (Hybrid – 2 days onsite per week)
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
- 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
Job Title
Senior / Principal Full Stack Engineer (TypeScript / React + GenAI)
Location
Basingstoke, UK (Hybrid – 2 days onsite per week)
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
- 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
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