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