GenAI Full Stack Engineer - Managing Consultant

Location: Letchworth Garden City

GenAI Full Stack Engineer - Managing Consultant Salary: £80,000 - £88,500 pa  £8,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations:
London, Manchester, Newcastle, Glasgow Overview:
We're looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You'll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role:
Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI.

Your skills and experience:
Backend Development:
Experience in building microservices using either Python with FastAPI, or Type Script with Express or equivalent Frontend Development:
Experience in building React applications using Type Script, leveraging frameworks such as Next.js or Vite. GenAI Frameworks:
Familiarity with tools like Lang Chain, Lang Graph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience:
Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms:
Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration:
Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC):
Exposure to tools like Terraform. Monitoring Tools:
Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD:

Experience with continuous integration and deployment tools such as Git Lab, Git Hub, or Jenkins. Vector Databases:

Experience with and (but not limited to) Chroma

DB, Pinecone, PGVector, Mongo

DB , Qdrant etc. No

SQL:
Familiarity with No

SQL databases (e.g., Mongo

DB preferred). SQL:
Experience working with SQL databases like Postgre

SQL. Proficient in Git and version control platforms like Git Hub, Git Lab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.