Senior Agentic AI Developer

Senior Agentic AI Developer (2 openings)

We’re looking for two Senior Agentic AI Developers to join our team in Bradford or Leeds. This hybrid role offers flexibility, with two days in the office and three days working remotely. Candidates will lead the design and implementation of advanced agentic AI systems that can independently reason, plan, and act.

• Design and develop agentic AI systems using Lang Graph, Python, and related orchestration frameworks.
• Architect and implement multi‑agent workflows encompassing reasoning, planning, memory, and tool usage.
• Build and optimise Retrieval‑Augmented Generation (RAG) solutions integrated with LLMs, vector databases, and knowledge graphs.
• Develop and maintain knowledge‑graph pipelines to support context retrieval, semantic search, and reasoning.
• Integrate external APIs, data sources, and tools into agentic frameworks to extend agent functionality.
• Collaborate with product, data, and research teams to translate advanced AI concepts into production‑ready solutions.
• Optimise deployed AI systems for performance, scalability, and reliability.
• Stay up to date with emerging research and advancements in LLM orchestration, agent frameworks, and AI reasoning.

• Significant commercial experience in software engineering, with a strong track record of designing, building, and delivering AI/ML solutions.
• Advanced proficiency in Python and modern AI frameworks, including Lang Graph, Lang Chain, and OpenAI APIs.
• Demonstrated experience building and deploying agentic AI systems, including robust RAG architectures (vector stores, document indexing, and retrieval pipelines).
• Hands‑on expertise in LLM fine‑tuning, prompt engineering, and effective context management.
• Practical knowledge of knowledge graphs and semantic data modelling, using technologies such as RDF, LPG, Neo4j, and Spanner Graph.
• Strong understanding of modern cloud platforms and MLOps tooling, including GCP and containerisation with Docker.
• Excellent problem‑solving skills, with the ability to translate research concepts into scalable, production‑ready systems.

• Experience with Lang Graph and agent orchestration frameworks.
• Background in AI reasoning, planning, or multi‑agent systems.
• Familiarity with transformer architecture and vector database technologies such as Pinecone, Weaviate, Chroma.
• Contributions to open‑source AI/agentic projects.
• Degree in a numerical discipline preferred.

• Competitive salary.
• 25 days annual leave, with the option to purchase 5 more; a birthday off and an additional 3 days of annual leave after 5 years of service.
• Wellbeing and mental health benefits including the Calm app, personal medical, critical illness cover, and dental insurance.
• Matched pension contribution up to 10%.
• Car benefit scheme.
• Access to an online learning platform.
• The chance to join an innovative, fast‑paced, passionate team.

Liberty Global is an equal‑opportunity employer, committed to an inclusive environment and accommodating all candidates.