About this role

Ship to production, measure usage, and iterate based on real feedback and operational data
Partner with domain experts to replace manual decision workflows with reliable, auditable AI-assisted systems
Design and operate GenAI solutions including retrieval, evaluation, monitoring, and cost-aware inference pipelines
Build end-to-end AI products across UI, services, and platform layers (stack chosen pragmatically)
Create reusable AI capabilities and internal platforms other teams can safely build on
Design human-AI interactions where outputs are understandable, verifiable, and actionable
Release incrementally to real users and continuously improve based on adoption and performance metrics

Have built and operated real production systems and want to apply that rigor to GenAI products
Be familiar with modern LLM ecosystems and eager to evaluate and evolve approaches rather than follow a fixed framework
Think in systems, feedback loops, and operational behavior — not just features
Be comfortable working in 0→1 environments while bringing structure and reliability
Care about usability, developer experience, and operator trust in AI outputs
Bonus: experience with evaluation, observability, or operating ML/AI systems in production

GenAI Native Product Engineer

Key skills