Design, build and improve the core components of the AIMS including integration framework, metric computation system, model full lifecycle management system, and model onboarding tools.
Prototype and ship new AI management solutions in both technological (pre-evaluation, post-evaluation, LLM monitoring, agent monitoring) and healthcare (bias, governance, compliance, performance, ROI, etc.) verticals.
Break down ambiguous, high-level problems into concrete technical solutions and engineering plans.
Work autonomously and collaboratively with Product, ML, Security, Infrastructure and other engineering teams.
Requirements
5+ years of experience in building backend systems and AI applications
You can design and defend architecture decisions with privacy and security considerations built into your thinking.
You've taken a vague product requirement and shipped a working system without a detailed spec handed to you.
Excellent communication skills with the ability to engage non-technical stakeholders from business and hospital teams.