Lead Agentic AI Engineer

Core technical skills

• Hands-on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral • Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi-agent patterns • Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance • Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost • Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance • Experienced in using Microsoft GenAI ecosystem , including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework • Proficient in Python and production-quality code practices • Strong understanding of software engineering principles, architecture patterns, and delivery best practices • Experience with API development using frameworks such as FastAPI, Flask, or Django • Knowledge of Docker, containerised deployments, CI/CD, and cloud-native delivery patterns What will make you stand out
• Experience building, deploying, and evaluating multi-agent AI solutions , agent orchestration patterns, RAG architectures, and enterprise integrations • Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A • Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness • Confidence contributing to pre-sales while also being able to lead implementation during delivery • Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks Qualifications:
• Bachelor’s degree in Computer Science, Data Science, or a related field • Microsoft certified i.e. Azure AI Apps and Agents Developer Associate OR Agentic AI Business Solutions Architect

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