Teams at Autonomize AI

Own complex production incidents across application code, APIs, databases, data pipelines, and cloud infrastructure. Implement permanent code and configuration fixes, lead Sev-1/Sev-2 response and postmortems, build automation and observability tooling, improve runbooks, support releases, and mentor L2 engineers. The role operates during US Pacific business hours from Bengaluru and requires healthcare compliance awareness, strong troubleshooting, and customer-facing communication.

Own the pre-sales technical cycle for AI solutions serving healthcare payers and providers. Responsibilities include customer discovery, solution architecture, technical demos, prototypes, multi-agent workflow development, pilot and go-live support, and translating customer insights into platform improvements. The role requires strong programming, healthcare workflow expertise, LLM and multi-agent application experience, and effective communication with technical and executive stakeholders.

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.