Teams at Autonomize AI

Own full-cycle recruiting for engineering and AI teams, including sourcing, pipeline development, interview coordination, candidate experience, feedback management, offer negotiation, and recruiting analytics. Partner with hiring managers and leadership to define hiring needs, build diverse technical talent pipelines, improve recruiting processes, and support employer branding and recruitment marketing in a high-growth startup environment.

Program-manage multiple machine learning initiatives from scoping through production, coordinating Product, Engineering, Clinical, and Customer teams. Establish roadmaps, milestones, risk management, evaluation frameworks, and operating rhythms for LLM, RAG, clinical NLP, and MLOps programs. Review technical designs and experiments, promote model reliability and observability, and mentor ML engineers and data scientists while improving processes and delivery scale.

Architect and build Autonomize AI’s Genesis platform across agentic pipelines, backend APIs, data infrastructure, and clinical interfaces. Develop production RAG and multi-agent systems, robust asynchronous services, cloud-native microservices, AI observability, and frontend capabilities. Make architectural decisions involving LLM performance, cost, latency, evaluation, and reliability while operating systems at scale in a regulated healthcare environment.