GenAI Fullstack Engineer Full Stack Engineer – Generative AI
Summary
Full-stack engineer in Bristol designing, building, and scaling Generative AI solutions — turning RAG and agent-based proofs-of-concept into production systems using Python/FastAPI or TypeScript/Express backends, React/TypeScript frontends, LangChain/LangGraph tooling, and AWS or Azure with Docker/Kubernetes/Terraform. Requires UK SC clearance eligibility.
You will design, build and scale Generative AI solutions within a technology-focused environment. You’ll work across AI-driven and traditional projects, turning proofs-of-concept into production-ready systems while collaborating with cross-functional teams. The role blends hands-on development with mentoring and shaping emerging capabilities, offering exposure to cutting-edge AI tech and growth opportunities. You’ll help drive innovative services and participate in business development and internal initiatives that advance the company’s AI agenda.
Pay / Benefits- Access to training and industry-recognised certifications
- Opportunities for career progression
- Collaborative environment
- Exposure to emerging technologies
- Support for continuous professional growth
- Customer-facing and internal initiatives
- Collaborate with multidisciplinary teams to develop Generative AI proof-of-concepts (RAG and intelligent agents)
- Scale successful proofs-of-concepts into production-ready solutions
- Design and develop full-stack applications across AI-driven and traditional projects
- Support infrastructure for secure, scalable end-to-end solutions
- Explore emerging technologies and apply innovations to real-world challenges
- Share knowledge through coaching, mentoring, and technical guidance
- Active SC Clearance or eligible to obtain
- Backend: microservices with Python/FastAPI or TS/Express
- Frontend: React with TypeScript (Next.js/Vite)
- Generative AI: LangChain, LangGraph, CrewAI, Vercel AI; experience with LLMs (OpenAI, Anthropic, Mistral, Llama)
- Cloud: AWS or Azure; Docker, Kubernetes, Docker Compose; Terraform
- CI/CD: GitHub/GitLab/Jenkins
- Monitoring/observability for AI apps
- Databases: vector stores (ChromaDB, Pinecone, PGVector, Qdrant), NoSQL, PostgreSQL
- Version control: Git
- Agile delivery
- Strong communication and stakeholder management
- Stakeholder management
- Effective communication with technical and non-technical audiences
- Collaborative mindset
- Python/FastAPI
- TypeScript/Express
- React/TypeScript
Skills
- Agile
- AI
- Anthropic
- AWS
- Azure
- Business Development
- ChromaDB
- CI/CD
- Cloud
- CrewAI
- Docker
- Express.js
- FastAPI
- Generative AI
- Git
- GitHub
- GitLab
- Jenkins
- Kubernetes
- LangChain
- LangGraph
- LLM
- Microservices
- Mistral
- Next.js
- NoSQL
- Observability
- OpenAI
- pgvector
- Pinecone
- PostgreSQL
- Python
- Qdrant
- React
- Stakeholder Management
- Terraform
- TypeScript
- Vercel
- Version Control
- Vite