Senior Agentic AI Developer

Location: LG UK Bradford (37,5 hours per week)

Time Type: Full time

Job Description

We’re looking for x2 Senior Agentic AI Developers to join our team in Bradford or Leeds on a permanent basis. This hybrid role offers flexibility, with two days in the office and three days working remotely.

We are looking for two Senior Agentic AI Developers to lead the design and implementation of advanced agentic AI systems that can independently reason, plan, and act. This role requires proven experience developing agent-based architectures in Python using LangGraph, as well as strong expertise in integrating LLMs, RAG pipelines, and knowledge graphs to create scalable, context-rich intelligent solutions.

What will you be doing?

• Design and develop agentic AI systems using LangGraph, 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.

We tend to look for people with:

Essential

• 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 LangGraph, LangChain, and OpenAI APIs.
• Demonstrated experience building and deploying agentic AI systems, including the development of 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 modeling, using technologies such as RDF, LPG, Neo4j, and SpannerGraph.
• Strong understanding of modern cloud platforms and MLOps tooling, including GCP and containerization with Docker.
• Excellent problem-solving skills, with the ability to translate research concepts into scalable, production-ready systems.

Desirable:

• Experience with LangGraph and agent orchestration frameworks.
• Background in AI reasoning, planning, or multi-agent systems.
• Familiarity with transformer architecture and vector database technologies (Pinecone, Weaviate, Chroma).
• Contributions to open-source AI/agentic projects.
• Degree in a numerical degree preferred

What’s in it for you?

• Competitive salary.
• 25 days annual leave with the option to purchase 5 more.
• Enjoy your birthday off, plus receive an additional 3 days of annual leave once you reach 5 years of service.
• Access to wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance, plus many more.
• Matched pension contribution up to 10%
• Access to our car benefit scheme
• Access to our online learning platform to continue to develop and grow your career with us
• The chance to join an innovative, fast-paced and passionate team

Who we are:

#LibertyBlume a Liberty Global company, is a rapidly growing business services provider, specialising in tech-enabled back-office solutions. Our mission is to deliver efficiency, scale and value to our customers through Business, Procurement and Financial Solutions. If you’re curious, customer centric and enjoy being one step ahead, join us on our scale up journey and unlock your freedom to grow!

Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates. We’re eager to hear from you, no matter your background.