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Full Stack Engineer (Python/Js/MS Stack) Agentic AI Project

Posted 2 hours 6 minutes ago by GCS

Contract
Not Specified
Other
London, City, United Kingdom, EC1A2
Job Description
Full Stack Engineer (Python/JavaScript/MS Stack)

Agentic AI & LLM Project

Location: Hybrid (London) and Remote
Start: Jan 2026

The role

We're hiring a hands-on Full Stack Engineer to build production-grade agentic AI solutions and LLM-powered applications. You'll design and deliver end-to-end features-from robust Back End APIs to polished Front End experiences-on Azure, with a strong emphasis on reliability, observability, and secure data handling.

What you'll do

  • Design & build scalable services in Python (FastAPI/Django/Flask) and front-ends in JavaScript/TypeScript (React/Next.js or similar).
  • Develop agent workflows (planning, tool-use, memory) and LLM pipelines (prompt orchestration, retrieval, evaluation, guardrails).
  • Productionise on Azure: Azure Functions/App Service, AKS or Container Apps, Azure Storage, Key Vault, Cosmos/SQL, ACR/Monitor, CI/CD (Azure DevOps or GitHub Actions).
  • Ship quality: testing strategies for LLM features (golden sets, regression harnesses), performance tuning, telemetry, and incident playbooks.
  • Collaborate with Product, Data/ML, and Security to deliver value safely and iteratively.

What you'll bring (must-haves)

  • Python for Back End services and tooling; JavaScript/TypeScript for modern Front End stacks.
  • Azure experience deploying and operating cloud services (IaC with Bicep/Terraform is a plus).
  • Agentic AI & LLMs: practical delivery of agents (eg, task planning, tool calling) and LLM apps (chat, summarisation, RAG, structured outputs).
  • Engineering excellence: CI/CD, automated testing, code reviews, observability, and secure development practices.

Nice to have

  • Experience with Azure OpenAI, OSS LLMs, model evaluation (BLEU/ROUGE/BERTScore, human-in-the-loop), and prompt/flow tooling.
  • React/Next.js SSR/ISR, component libraries, and accessible UI.

What's in it for you

  • Work on real agentic AI use-cases moving from prototype to production.
  • Autonomy to shape architecture and best practices for LLM delivery.
  • Collaborative culture, modern tooling, and the chance to influence product direction.

Please send across an updated CV if this position is of interest

GCS is acting as an Employment Business in relation to this vacancy.

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