GenAI Full-Stack Engineer — Build POCs & Scale Solutions

Capgemini

Greater London

Hybrid

GBP 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Hybrid working
Flexible benefits

Job summary

Capgemini Invent is seeking a GenAI-focused full-stack developer to build and scale GenAI POCs into production-grade applications. You will design and implement backend microservices in Python (FastAPI) or TS (Express), craft responsive UIs in React/TypeScript, and leverage LangChain ecosystems to empower clients with AI-driven capabilities.

You will also work on cloud hosting (AWS/Azure), containers (Docker/Kubernetes), and IaC (Terraform), while mentoring teammates and shaping delivery

Qualifications

  • Experience building GenAI full-stack applications and POCs.
  • Strong backend and frontend development with microservices.
  • Hands-on with LLMs and GenAI tooling (LangChain, Ollama).

Responsibilities

  • Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients.
  • Scale existing POCs to production-ready solutions for customer use.
  • Design and develop FullStack applications for GenAI and non-GenAI projects.
  • Support infrastructure to enable robust end-to-end solutions.
  • Mentor team members and contribute to practice growth.

Skills

Python FastAPI
TypeScript Express
React TypeScript
Next.js
LangChain
LangGraph
CrewAI
Vercel AI
OpenAI
Anthropic
Mistral
Llama
Ollama
AWS
Azure
Docker
Kubernetes
Terraform
Langsmith
Langfuse
Git
GitHub
GitLab
Jenkins
PostgreSQL
MongoDB
ChromaDB
Pinecone
PGVector
Qdrant
NoSQL
SQL

Education

Bachelors or Masters in CS/SE

Tools

Virtual Machines

Job description

Capgemini Invent is seeking a GenAI-focused full-stack developer to build and scale GenAI POCs into production-grade applications. You will design and implement backend microservices in Python (FastAPI) or TS (Express), craft responsive UIs in React/TypeScript, and leverage LangChain ecosystems to empower clients with AI-driven capabilities.

You will also work on cloud hosting (AWS/Azure), containers (Docker/Kubernetes), and IaC (Terraform), while mentoring teammates and shaping delivery

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