Lead AI Product Engineer

Skills this role screens for

About the role

Fractal is hiring for the role of Lead AI Product Engineer!

The work

Responsibilities of the Candidate

• Lead the AI and agent engineering team. Set standards, coach engineers, and keep the team unblocked.
• Stay in the code. Take the hardest agents yourself and set the patterns others follow.
• Work as a pair with the Engineering Lead.
• Work with product management on what an agent can realistically be trusted to do, so external commitments are grounded.
• Be able to explain an agent’s behaviour to a finance stakeholder who will not accept "the model decided".

Who they want

Requirements

• Ten to fourteen years in AI, machine learning or software, with at least three leading a team.
• Track record of owning technical design, not only implementing someone else’s design.
• Production experience with LLM and agentic systems: multi-step workflows, tool use, orchestration frameworks, and the failure modes that only appear at scale.
• Real evaluation discipline. Evidence that you have measured agent quality with something more rigorous than manual spot checks.
• Strong Python engineering. Your team ships production code, not notebooks.
• Document understanding and information extraction experience, ideally on messy real-world inputs such as emails, remittance advices and attachments.
• Classical machine learning depth alongside the generative work, and the judgement to know which problem needs which.
• Enough understanding of services, data and deployment to build agents that fit the platform and to hold your side of a design argument with the Engineering Lead.
• Product track record: AI built for many clients, not one-off delivery for a single engagement.