AI / Machine Learning Engineer – Agentic LLM Systems (Contract)

AI / Machine Learning Engineer – Agentic LLM Systems (Contract) We’re working with a leading tech organisation building next-generation agentic AI systems – LLMs that can plan, reason, call tools, and write/execute code. We’re hiring a Machine Learning Engineer to help design, build, and scale these systems into production-grade, enterprise environments. You will: • Design and build tools, workflows, and infrastructure for agentic LLM systems • Develop RAG pipelines, embeddings workflows, and retrieval systems for enterprise data • Work with researchers and engineers to diagnose and fix failures in agent-generated code and workflows • Build frameworks for tool-calling, multi-step planning, orchestration, and agent routing • Integrate with LLM providers (OpenAI, Anthropic, Vertex AI, open-source models) and support multi-model usage • Develop backend services and APIs to support AI-driven applications and workflows • Build and run experiments to improve reliability, latency, cost, and success rates • Contribute to evaluation frameworks, observability, and monitoring of LLM/agent performance What We’re Looking For: • 4+ years’ experience in ML/AI engineering (LLMs, recommender systems, optimisation, or similar) • Proven hands-on experience building LLM agents, RAG systems, or orchestrated AI workflows in production • Strong Python (with PyTorch, TensorFlow, or similar frameworks) • Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar) • Solid understanding of APIs, backend services, and microservices architectures • Experience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes) • Familiarity with event-driven or serverless architectures • Experience with CI/CD pipelines, testing, and infrastructure as code • Comfortable debugging complex, distributed AI/ML systems • Experience running and analysing large-scale experiments and performance metrics (latency, accuracy, cost) • Exposure to monitoring/observability tools for production systems Nice to Have: • Experience with multi-agent systems or distributed AI architectures • Experience optimising LLM usage across multiple providers (cost/performance trade-offs) • Familiarity with vector databases (Pinecone, Weaviate, OpenSearch, etc.) • Experience integrating AI systems into enterprise platforms or business workflows Contract Details: • £600 - £700 Per Day (Inside IR35) • 6 Months Initial Contract | + Extensions • Hybrid | London Please apply for immediate consideration.