Senior Agentic AI Engineer in Leeds

Senior Agentic AI Engineer in Leeds

Leeds Full-Time 81000 - 99000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build cutting-edge multi-agent systems for autonomous reasoning and task execution.
  • Company: Join Liberty Blume, a fast-growing tech-enabled business services provider.
  • Benefits: Competitive salary, 25 days leave, wellbeing benefits, and matched pension contributions.
  • Other info: Hybrid role with a dynamic team focused on innovation and growth.
  • Why this job: Make an immediate impact in a rapidly evolving field of agentic AI engineering.
  • Qualifications: Experience in building production-grade agentic AI systems and strong Python skills.

The predicted salary is between 81000 - 99000 £ per year.

We’re looking for a Senior Agentic AI Engineer 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

We tend to look for people with

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. Lang Chain, Lang Graph, Crew AI, Auto Gen), 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, Janus Graph)
  • Familiarity with LLMOps and observability tools (e. g. Lang Smith, 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

Who we are

#Liberty Blume 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.

Senior Agentic AI Engineer in Leeds employer: Liberty Blume Business Solutions

Liberty Blume, a rapidly growing business services provider located in the vibrant Leeds City Centre, offers an exceptional work environment for a Senior Agentic AI Engineer. With a hybrid working model, competitive salary, and generous benefits including 25 days of annual leave plus your birthday off, employees are encouraged to maintain a healthy work-life balance. The company fosters a culture of innovation and continuous learning, providing ample opportunities for professional growth while being part of a passionate team dedicated to delivering cutting-edge tech-enabled solutions.

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Contact Details:

Liberty Blume Business Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Agentic AI Engineer in Leeds

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Liberty Blume Business Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Liberty Blume Business Solutions.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Liberty Blume Business Solutions.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Liberty Blume Business Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Senior Agentic AI Engineer in Leeds

Agentic AI Systems Development
Python Engineering
RAG Pipeline Design
Vector Database Management
LLM Evaluation Techniques
Agent Frameworks Familiarity
Cloud Platform Experience (GCP, AWS, Azure)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Liberty Blume Business Solutions.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Liberty Blume Business Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Liberty Blume Business Solutions

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Liberty Blume Business Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.