Senior Agentic AI Engineer

Liberty Blume; Leeds; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary + bonus

25 days annual leave

Mental health benefits

Matched pension contribution up to 10%

Access to learning platform

Job summary

Liberty Blume in Leeds is seeking a Senior Agentic AI Engineer for a hybrid role, combining office and remote work. You will design agent architectures, build multi-agent systems, and deliver production-grade AI solutions that replace manual processes.

The ideal candidate will have proven experience in agentic AI systems, strong Python skills, and a passion for working in a rapidly evolving field. Attractive benefits include competitive salary, 25 days annual leave, and wellbeing support.

Qualifications

• Proven experience building and deploying agentic AI systems in production.
• Strong Python engineering skills with a focus on clean code.
• Hands-on experience designing RAG pipelines.

Responsibilities

• Design and build multi-agent systems for autonomous reasoning.
• Architect orchestration patterns for tool use and memory.
• Deliver scalable solutions for knowledge retrieval and automation.

Skills

Python engineering skills

Agentic AI systems

RAG pipelines design

Vector databases

LLM evaluation techniques

Cloud platforms (GCP, AWS, Azure)

Tools

Neo4j

LangChain

LangSmith

Job description

We’re looking for a Senior Agentic AI Engineer to join our team in Leeds City Centre on a permanent basis. This is a hybrid role, with two days in the office and three days working remotely each week. This role sits within a newly established AI engineering squad, working across the full agentic stack. You’ll design agent architectures and RAG pipelines, and deliver autonomous agents into production to replace manual processes. It’s a hands‑on, delivery‑focused role with immediate impact from day one. Agentic AI engineering is a rapidly evolving field, so we don’t expect years of experience in a discipline that’s still emerging. What matters is a track record of building real, production‑grade solutions, strong software engineering fundamentals, and the curiosity to stay ahead. If you’ve been working in this space for 18+ months and can demonstrate live systems you’ve built, we’d love to hear from you.

What will you be doing?

• Design and build multi‑agent systems for autonomous reasoning, planning, and task execution
• Architect orchestration patterns including tool use, memory, reflection loops, and human‑in‑the‑loop handoffs
• Deliver solutions across use cases such as developer productivity, knowledge retrieval, and process automation
• Leverage GCP‑native and enterprise‑grade managed services ahead of building custom infrastructure
• Develop end‑to‑end RAG architectures (ingestion, chunking, embedding, retrieval, reranking)
• Select and manage appropriate vector databases and build pipelines to turn unstructured data into usable insights
• Apply knowledge graph approaches (e.g. Neo4j) where deeper relational or semantic reasoning is needed
• Define and implement evaluation frameworks, including automated testing and LLM‑based assessment
• Monitor and optimise agents for cost, latency, quality, and production performance
• Collaborate across engineering and business teams to build scalable, compliant (GDPR/EU AI Act) and production‑ready agentic solutions

Essential

• Proven experience building and deploying agentic AI systems in production (not just prototypes)
• Strong Python engineering skills, with a focus on clean, tested, maintainable code
• Hands‑on experience designing RAG pipelines (chunking, embeddings, retrieval, evaluation)
• Experience working with at least one vector database in a production setting
• Practical experience with LLM evaluation techniques (e.g. automated evals, LLM‑as‑a‑Judge, or similar)
• Familiarity with agent frameworks (e.g. LangChain, LangGraph, CrewAI, AutoGen), with good judgement on when to use them
• Solid understanding of LLM fundamentals, including prompting, tool use, structured outputs, and context management
• Experience working with cloud platforms (GCP preferred; AWS or Azure also considered)

Desirable

• Experience with Google Agent Development Kit (ADK) or Vertex AI Agent Builder
• Understanding of MCP (Model Context Protocol) and agent‑to‑agent communication patterns
• Experience with knowledge graphs or graph databases (e.g. Neo4j, JanusGraph)
• Familiarity with LLMOps and observability tools (e.g. LangSmith, Langfuse)
• Experience building solutions in regulated or enterprise environments
• Background in BPO, AP automation, or document processing workflows

What’s in it for you?

• Competitive salary + bonus
• 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

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.