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


• 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


• Familiarity with vector databases (Pinecone, Weaviate, OpenSearch, etc.)


• Experience integrating AI systems into enterprise platforms or business workflows


• 6 Months Initial Contract | + Extensions


• Hybrid | London