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

GCS; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

An innovative technology company is seeking a Full Stack Engineer to build agentic AI solutions and LLM-powered applications. This hybrid role focuses on both Back-End and Front-End development using Python and JavaScript within Azure. The ideal candidate should have expertise in deploying cloud services, designing scalable architectures, and working collaboratively across teams to deliver impactful solutions. This position offers the autonomy to shape processes and contribute to significant AI projects.

Benefits

Collaborative culture

Modern tooling

Opportunity to influence product direction

Qualifications

• Strong experience in Python for Back End and JavaScript/TypeScript for Front End.
• Proven knowledge of Azure for deploying cloud services.
• Experience with practical delivery of Agentic AI and LLM applications.

Responsibilities

• Design and build scalable services using Python and JavaScript.
• Develop agent workflows and LLM pipelines.
• Productionise applications on Azure with a focus on CI/CD.

Skills

Python

JavaScript/TypeScript

Azure

CI/CD

LLM apps

Tools

FastAPI

Django

Flask

React/Next.js

Bicep

Terraform

Job description

Full Stack Engineer (Python/JavaScript/MS Stack)

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

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‑have)

• 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 (e.g., 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 an updated CV if this position is of interest.