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Remote, mid-level generalist full-stack title with broad requirements and US-overlap increases applicant competition.
Full-stack skills transfer broadly, but agentic AI specialization and healthcare/regulatory preferences increase domain specificity.
Explicit 5–8 years, required AI-agent expertise, and mandatory US-overlap hours create rigid shortlisting filters.
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Design, build, deploy, and maintain AI-native full-stack software and autonomous agentic development workflows to accelerate engineering delivery.
Own end-to-end product delivery including architectural decisions, AI systems, cloud infrastructure, security, testing, and deployment.
Coordinate and lead a swarm of autonomous agents as part of an AI-native software factory, progressively taking technical leadership of the system while remaining hands-on.
5–8 years of professional software engineering experience or equivalent demonstrated ability.
Strong full-stack skills with modern frontend (React, Next.js or equivalent) and backend development (Python, TypeScript, Node.js or similar).
Experience designing and operating agentic AI systems (multi-agent orchestration, planning, tool access, evaluation, human-in-the-loop workflows).
Availability for remote work with mandatory meetings between 6:00 PM and 12:00 AM IST (overlapping US Pacific Time); commitment of approx. 50 hours/week.
Experienced in owning and delivering software products end-to-end, beyond just coding individual tasks, with the ability to plan, sequence, and complete product work.
Comfortable working in an ambiguous, high-accountability startup environment with a focus on AI-native software engineering and autonomous agent orchestration.
Strong system thinker able to design, evaluate, and govern AI-driven software workflows, balancing speed, quality, security, and architecture stability.