Agentic AI Engineer

Location: Leeds City Centre, United Kingdom; hybrid with two days in the office and three days working remotely each week

Company

hirify.global is a rapidly growing business services provider specialising in tech-enabled back-office solutions across business, procurement, and financial services.

What you will do

• Design and build multi-agent systems for autonomous reasoning, planning, task execution, tool use, memory, reflection loops, and human-in-the-loop handoffs.
• Deliver production solutions for developer productivity, knowledge retrieval, and process automation.
• Develop end-to-end RAG architectures covering ingestion, chunking, embeddings, retrieval, and reranking.
• Select and manage vector databases, and apply knowledge graphs such as Neo4j for relational and semantic reasoning.
• Define evaluation frameworks with automated testing and LLM-based assessment; monitor and optimise cost, latency, quality, and production performance.
• Collaborate across engineering and business teams to deliver scalable, compliant solutions aligned with GDPR and the EU AI Act.

Requirements

• Proven experience building and deploying agentic AI systems in production, not only prototypes.
• At least 18 months of experience in agentic AI engineering, with live systems that can be demonstrated.
• Strong Python engineering skills focused on clean, tested, and maintainable code.
• Hands-on experience designing RAG pipelines, including chunking, embeddings, retrieval, and evaluation.
• Production experience with at least one vector database.
• Practical experience with LLM evaluation techniques such as automated evaluations or LLM-as-a-Judge.
• Familiarity with agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen, with sound judgement about when to use them.
• Solid understanding of LLM fundamentals, including prompting, tool use, structured outputs, and context management.
• Experience with cloud platforms; GCP is preferred, while AWS or Azure are also considered.

Nice to have

• Experience with Google Agent Development Kit or Vertex AI Agent Builder.
• Understanding of MCP and agent-to-agent communication patterns.
• Experience with knowledge graphs or graph databases such as Neo4j or JanusGraph.
• Familiarity with LLMOps and observability tools such as LangSmith or Langfuse.
• Experience building solutions in regulated or enterprise environments.
• Background in BPO, AP automation, or document processing workflows.

Culture & Benefits

• Permanent full-time role with a 37.5-hour working week in a hybrid setup.
• Competitive salary and bonus.
• 25 days of annual leave, with the option to purchase five additional days; birthday leave and three extra days after five years of service.
• Wellbeing and mental health benefits, personal medical, critical illness cover, dental insurance, and matched pension contributions up to 10%.
• Car benefit scheme and access to an online learning platform.
• Opportunity to join an innovative, fast-paced team during the company’s scale-up journey.