Senior AI Engineer

Senior AI Engineer (Agentic AI) – Applied AI in Production

Manchester - Hybrid working- 1 -2 days in the office per month.

Are you passionate about building the next generation of Agentic AI solutions? We're looking for a Senior AI Engineer to design, develop and deploy intelligent, autonomous AI systems that solve real business problems at scale.

This is an exciting opportunity to work at the forefront of AI, developing production-grade agentic applications that leverage LLMs, graph-based architectures and autonomous workflows to transform both customer experiences and internal operations.

What You'll Do

• Design, build and deploy production-ready Agentic AI applications.
• Develop autonomous AI agents capable of planning, reasoning, tool use and multi-step decision making.
• Design and implement graph-based AI architectures (LangGraph or similar) to orchestrate complex AI workflows. Experience with graph frameworks is essential.
• Build and integrate LLM-powered applications into end-to-end business processes.
• Embed AI solutions into customer and operational workflows with resilience, observability and safe fallback behaviour.
• Collaborate with Product, Engineering, Data and Operations teams to take AI solutions from concept through to production.
• Establish best practices around orchestration, evaluation, testing, monitoring, governance and AI safety.
• Evaluate emerging AI technologies and rapidly translate them into high-value business applications.

What We're Looking For

• Strong software engineering background with Python and experience delivering production-grade AI applications.
• Proven commercial experience building Agentic AI solutions using modern LLM frameworks.
• Essential: Hands-on experience with graph-based AI frameworks such as LangGraph, GraphRAG, Knowledge Graphs, or similar graph orchestration technologies.
• Experience developing AI agents capable of reasoning, planning, memory management and tool orchestration.
• Strong understanding of prompt engineering, retrieval-augmented generation (RAG), vector databases and AI orchestration frameworks.
• Practical experience addressing production AI challenges including latency, resilience, observability, evaluation, security and maintainability.
• Excellent communication skills with the ability to work across multidisciplinary engineering and product teams.
• Passion for emerging AI technologies and applying them to solve real-world business challenges.

Desirable Experience

• AWS AI/ML services (Bedrock, SageMaker, Lambda, etc.).
• Experience with multi-agent architectures and autonomous workflows.
• Knowledge of MCP (Model Context Protocol) or AI tool integration frameworks.
• Experience within regulated industries such as Financial Services or FinTech.
• Contributions to open-source AI projects or the wider AI community.

Why Join Us?

This is an opportunity to play a key role in shaping the future of AI within a fast-paced, innovative environment. You'll have the freedom to experiment with cutting-edge AI technologies while building production systems that create genuine business value.

If you're excited about Agentic AI, autonomous systems and graph-based AI architectures, we'd love to hear from you.

Interested? Click Apply Now.