Senior AI Engineer

 Deep, hands-on AI and GenAI expertise: a proven track record of shipping production-grade AI solutions, with strong command of LLMs, RAG, agentic patterns, evaluation, and modern Generative AI frameworks (for example LangGraph, OpenAI Agents SDK, AG2 / AutoGen, Semantic Kernel or the Microsoft Agent Framework, Pydantic AI, and the Model Context Protocol).

• Solid engineering foundations: Python first-class, familiarity with at least one major cloud AI platform (Azure AI Foundry, AWS Bedrock, or Google Vertex), comfortable with APIs, CI/CD, containers and the basics of MLOps and LLMOps.

• Leadership with substance: demonstrable experience leading technical projects or teams, setting technical direction, mentoring engineers, and being accountable for delivery. You do not need to be a line manager, but you enjoy helping a team become greater than the sum of its parts.

• Stakeholder fluency: ability to navigate a complex corporate environment and influence at senior levels, translating fluently between business and engineering.

• Product mindset: focused on user value over shiny tech, ruthless about prioritization, comfortable with ambiguity, and biased towards shipping.

• Responsible AI instincts: you think about bias, privacy, safety and explainability as a natural part of how you design and build, not as an afterthought.``