Senior Agentic AI Developer

Role for the Agentic AI Engineer, Agentic AI Developer, Python

• This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end, from design and architecture, through development and deployment, to optimisation and continuous improvement.
• You’ll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices.

Experience and skills required for the Agentic AI Engineer, Agentic AI Developer, Python

• Fluency with modern ML toolchains (PyTorch/JAX, agentic frameworks, MCP).
• Experience with AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic Kernel.
• Solid software-engineering fundamentals - tested, documented, maintainable Python
• Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus.
• Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval).
• Experience with either Docker, Kubernetes, cloud (AWS / Azure)
• Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration.
• Hands-on experience training and deploying learned policies for complex behaviours in robots or simulated characters is a bonus
• Ability to write clean, efficient, and well-documented code in a collaborative environment.
• M.S. in Computer Science, Machine Learning, Robotics, or related field (or equivalent practical experience).

A leading business is hiring a Agentic AI Developer. Hybrid position. 12-month rolling contract, paying up to £1000 per day, depending on experience.