GenAI Engineer

GenAI Full Stack Engineer - Con, Senior Con \& Managing Consultant

Location

Hybrid / Flexible working across the UK

Salary

£45,000 – £70,000 per annum - DoE/Grade

Clearance

Candidates must be eligible for SC Clearance, have 5 years UK residency, and the correct right to work status in the UK.

We are hiring for multiple GenAI Full Stack Engineers with a leading IT Consultancy to play a key part in building cutting-edge GenAI full-stack applications.

In this role you will

• Collaborate with the wider 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 FullStack 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.
• Share your expertise by coaching and mentoring team members, fostering skill development within the team.

Your Profile

• Backend Development:

Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent

• Frontend Development:

Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.

• GenAI Frameworks:

Familiarity with tools like LangChain, LangGraph, 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 GitLab, GitHub, or Jenkins.

• Database Management
• Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc.
• NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred).
• SQL: Experience working with SQL databases like PostgreSQL.
• Version Control:

Proficient in Git and version control platforms like GitHub, GitLab, etc.

Please reach out for further information