AI Product Engineer

. Design and build AI agents and automated workflows for clinic operations, including insurance benefits verification, prior authorizations, patient intake, claims, and clinical documentation .

Posted 11/6/2026contractRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI agents and automated workflows for clinic operations, with strong full-stack development skills in Python and TypeScript. Proficient in managing infrastructure as code and ensuring compliance with healthcare regulations while delivering high-quality software solutions.

Highest-signal resume keywords

AI Agent DevelopmentFull-Stack Development in Python and TypeScriptInfrastructure as Code ManagementHealthcare Compliance (HIPAA)Experience with LLMs and AI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DevelopmentFull-Stack DevelopmentPythonTypeScriptInfrastructure as CodeLLM Tool UseAPI DesignDatabase ManagementWeb DevelopmentMobile Development

Soft Skills

Clear Written CommunicationHigh AgencyGood Product Sense

Tools & Technologies

Claude CodeCodexCursorMCP ServersHL7/FHIRReact NativeTemporal

Industry Keywords

Healthcare ExperienceRegulated Industry ExperiencePayer and Claims WorkflowsEHR IntegrationsProtected Health Information (PHI)

Tech Stack

Tools & technologies

CloudPythonReactReact NativeTypeScript

About the role

Key responsibilities & impact

Design and build AI agents and automated workflows for clinic operations, including insurance benefits verification, prior authorizations, patient intake, claims, and clinical documentation
Build web and mobile features for clinicians, patients and families, and the internal operations team
Take ambiguous problems from 0 to 1 with operators and clinicians; define problems, write specifications, and ship first versions
Design services, data models, and APIs; manage infrastructure as code
Own services in production, including deployments, monitoring, and incident response
Write evaluations for model-facing features and track workflow metrics
Build and maintain skills, plugins, MCP integrations, and review bots used with Claude Code and Codex

Requirements

What you’ll need

5+ years of experience building and shipping production software
Recent, hands-on experience using or building AI harnesses beyond model API calls, including project instructions, tools and MCP servers, skills, hooks, subagents, or evals
At least one personal project built and published on the web, live and usable by anyone; ideally a SaaS with working payments
Strong full-stack skills in Python and TypeScript, with experience across frontend, backend, databases, and cloud infrastructure
Comfort working in a large, established codebase
Hands-on experience building with LLMs, including tool use, agent orchestration, structured outputs, retrieval, and evals
Daily use of AI coding agents such as Claude Code, Codex, or Cursor, including configuring project instructions, skills, MCP servers, hooks, and subagents, running parallel tasks, and reviewing output
Good product sense and ability to make UI decisions without a dedicated designer
High agency and ability to unblock yourself
Clear written communication
Nice to have: healthcare or regulated-industry experience, HIPAA, payer and claims workflows, EHR integrations, HL7/FHIR, Temporal or another durable workflow engine, React Native, production LLM evaluations or safety checks, agent harnesses/MCP servers/plugins, open-source work or internal tools
Must safely handle protected health information with least-privilege access, no PHI in logs, and auditable changes