state sharing and caching. Knowledge of various DB engines (SQL, Redis, Kafka). Experience with Generative AI and LLM-based applications. Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph). Experience with embeddings and fine-tuning GenAI models. Understanding of ModelOps/ML Ops/LLM Ops. Familiarity with SRE techniques. This role has been deemed Inside IR35 by More ❯
/ML platforms, particularly in generative AI or LLM-based systems. Exposure to ML/ModelOps and AI workflow automation tools. Practical experience with agent orchestration tools (e.g., LangChain, LangGraph). Understanding of microservice-based architecture, distributed state management, and advanced cloud deployment strategies (e.g., blue/green deployments). Hands-on experience with scalable cloud infrastructure in both public More ❯
in use of Large Language Models Knowledge and experience of either AWS or Azure: AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented generation) Graph RAG Few shot detection Embedding models/LLMs - how they work, how More ❯
NEW CONTRACT AI/ML ENGINEER VACANCY AVAILABLE - HYBRID LONDON Exciting Opportunity with a Cutting-Edge AI Company Contract AI Engineer (LLMs/LangGraph/RAG) 6-Month Initial Contract + extension £350-450 Outside IR35 (competitive) To apply please email WHO WE ARE We're working with an innovative organisation at the forefront of AI-powered solutions, focused on … building dynamic, intelligent tools for real-time use cases. THE ROLE We're seeking AI Engineers to design, build, and deploy conversational AI products using LangGraph, OpenAI functions, and Retrieval-Augmented Generation (RAG) techniques. You'll be part of a hands-on team delivering high-performance AI tools in a fast-paced environment. WHAT YOU WILL BE DOING Building conversational … AI flows with LangGraph and OpenAI function-calling Integrating live data (e.g., sports data, betting odds) into real-time chat systems Developing memory handling, tool usage, and RAG pipelines Collaborating on system design, prompt tuning, and architecture decisions Optimising AI performance for speed, stability, and user experience WHAT WE NEED FROM YOU Proven experience with LangGraph or LangChain Strong Python More ❯
