Lead Agentic AI Engineer (Hybrid: In‑Office + Remote)

Liberty Blume

Bradford

Hybrid

GBP 70,000 - 85,000

Full time

14 days+
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Benefits offered by this job

Competitive salary + bonus
25 days annual leave
Birthday off
Wellbeing benefits
Matched pension contribution up to 10%
Car benefit scheme
Online learning platform access

Job summary

Liberty Blume is hiring a Senior Agentic AI Engineer to join our team in Leeds City Centre. This hybrid role requires designing agent architectures and delivering production-ready solutions.

The ideal candidate has proven experience with agentic AI systems, strong Python skills, and familiarity with cloud platforms like GCP. Enjoy competitive salary, annual leave benefits, and well-being support.

Qualifications

  • Proven experience building and deploying agentic AI systems in production.
  • Strong Python engineering skills, focusing on clean, tested, maintainable code.
  • Hands-on experience designing RAG pipelines.
  • Experience with at least one vector database in production.
  • Practical experience with LLM evaluation techniques.
  • Familiarity with agent frameworks with good judgment on use.
  • Solid understanding of LLM fundamentals.
  • Experience with cloud platforms, preferably GCP.

Responsibilities

  • Design and build multi-agent systems for autonomous reasoning.
  • Architect orchestration patterns for tool use and memory.
  • Deliver solutions across various use cases.
  • Develop end-to-end RAG architectures.
  • Select and manage vector databases for unstructured data.
  • Define and implement evaluation frameworks.
  • Monitor and optimize agents for production performance.
  • Collaborate with teams to build compliant agentic solutions.

Skills

Agentic AI systems deployment
Python engineering
RAG pipeline design
Vector database experience
LLM evaluation techniques
Agent frameworks familiarity
Cloud platforms

Tools

GCP
Neo4j

Job description

Liberty Blume is hiring a Senior Agentic AI Engineer to join our team in Leeds City Centre. This hybrid role requires designing agent architectures and delivering production-ready solutions.

The ideal candidate has proven experience with agentic AI systems, strong Python skills, and familiarity with cloud platforms like GCP. Enjoy competitive salary, annual leave benefits, and well-being support.

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