Summary
We are looking for an AI Engineer with a strong machine learning (ML) background and hands-on experience building modern AI systems. This role is best suited for someone who started in ML, applied modeling, or NLP, and later expanded into large language models (LLMs) and agentic AI systems. We are looking for someone with an evaluation-first mindset who believes AI systems should be designed with clear success criteria, testing methods, and monitoring plans from the start.
The ideal candidate brings solid ML foundations, experience working with third-party and open-source LLMs, and practical experience building multi-step AI workflows for real business problems. This background helps ensure these solutions are accurate, reliable, scalable, and grounded in sound evaluation practices. Humility, accountability, and a growth mindset are must-haves for this role. The right candidate is comfortable admitting mistakes, learning from feedback, and adjusting quickly when evidence shows a better path.
Why This Role Matters
This role matters because we need more than someone who can build AI features. We need someone who can build AI systems in a thoughtful and reliable way. That means starting with a clear plan for how quality, risk, and business impact will be measured, and carrying that through design, launch, and ongoing improvement. This role will also help strengthen how we run AI in practice, with solid MLOps and LLMOps across ML, LLM, and agentic AI systems.