Full Stack Engineer
18 hours ago
Basingstoke
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