Member of Technical Staff

Jobgether; India; Remote; INR 3,500,000 - 7,000,000; Part time

Benefits offered by this job

Remote position in India

Contract engagement

Impactful healthcare technology

Job summary

Jobgether is seeking a highly skilled Member of Technical Staff in India to build and scale an AI-native platform for healthcare practice operations. You will own features end-to-end, from discovery to production, across web and mobile experiences for clinicians, patients, and operations teams.

You will design backend services, data models, APIs, and supporting infrastructure as code, while advancing AI development capabilities through coding agents, integrations, and evaluation systems.

Qualifications

• At least 5 years of professional experience delivering production software.

Responsibilities

• Design and build AI agents and automated workflows for healthcare operations.
• Develop features for web and mobile applications used by clinicians and patients.
• Own services from design through production, including deployments, monitoring, and incident response.
• Build and evaluate AI-powered features and ensure reliability and quality of workflows.

Skills

Python

TypeScript

Full-stack

Cloud infrastructure

Frontend development

Tools

React

Next.js

React Native

PostgreSQL

Snowflake

AWS

LangGraph

Claude Code

Codex

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Member of Technical Staff based in India.

We are seeking an experienced, hands-on software engineer to build and scale an AI-native platform transforming how healthcare practices operate. In this role, you will take ownership of features from initial discovery and technical design through development, deployment, and production monitoring. You will work across the full stack, building intelligent agents, automated workflows, and web and mobile experiences for clinicians, patients, and healthcare operations teams. Collaborating directly with clinical and operational stakeholders, you will turn complex, ambiguous challenges into practical products that deliver measurable value. You will also help advance the engineering team's AI development capabilities by building and using coding agents, integrations, and evaluation systems. This is an opportunity to contribute to meaningful healthcare technology in a remote, highly autonomous, and engineering-driven environment.

Accountabilities

• Design and build AI agents and automated workflows that streamline healthcare operations, including insurance benefits verification, prior authorizations, patient intake, claims processing, and clinical documentation.
• Develop and deliver features for clinicians, patients, families, and internal operations teams across web and mobile applications.
• Take ownership of ambiguous problems, collaborating with clinicians and operational stakeholders to define requirements, write specifications, and deliver initial solutions.
• Design and implement backend services, data models, APIs, and supporting infrastructure as code.
• Own services throughout their production lifecycle, including deployments, monitoring, maintenance, and incident response.
• Build evaluations for AI-powered features and monitor performance metrics to ensure the reliability and quality of automated workflows.
• Handle protected health information (PHI) securely, applying least-privilege access, preventing sensitive information from appearing in logs, and maintaining auditable changes.
• Develop and maintain engineering tools, including AI coding-agent skills, plugins, MCP integrations, and automated code-review bots for Claude Code and Codex.
• Contribute across the platform and collaborate with the broader engineering team in a flat, cross-functional environment.
• Continuously improve development practices by using AI coding agents and evaluating their output carefully.

Requirements

• At least 5 years of professional experience building and delivering production software.
• Recent, hands-on experience using or building AI harnesses around models or coding agents, including project instructions, tools, MCP servers, skills, hooks, subagents, and evaluation workflows. Candidates should be able to demonstrate what they have built or configured.
• At least one personal project independently built and published online, live and accessible to users; ideally, a SaaS product with working payment functionality such as Stripe. A project link must be included with the application.
• Proven ability to own products or features end to end, from an initially undefined problem through delivery of a reliable system used by real people.
• Strong full-stack engineering skills in Python and TypeScript, with experience across frontend development, backend services, databases, and cloud infrastructure.
• Comfort working within large, established codebases.
• Practical experience building with large language models, including tool use, agent orchestration, structured outputs, retrieval, and evaluations using frameworks such as LangGraph or similar agent SDKs.
• Daily experience using AI coding agents such as Claude Code, Codex, or Cursor, including configuring project instructions, skills, MCP servers, hooks, and subagents; running parallel tasks; and carefully reviewing generated code.
• Good product judgment and the ability to make sound user-interface decisions using an existing component library, even without a dedicated designer.
• Strong initiative, resourcefulness, and problem-solving skills, with the ability to find context, overcome blockers, and ask the right questions.
• Clear written communication skills and comfort collaborating across time zones through specifications, pull requests, and tickets.
• Nice to have: Experience in healthcare or another regulated industry, including HIPAA, payer and claims workflows, EHR integrations, or HL7/FHIR; familiarity with Temporal or other durable workflow engines; React Native experience; experience running LLM evaluations or production safety checks; experience building agent harnesses, MCP servers, or coding-agent plugins; and open-source contributions or internal tools used by others.

Benefits

• Work arrangement: Remote position available in India.
• Contract type: Contract engagement.
• Engineering ownership: Opportunity to take end-to-end responsibility for features and services across the platform.
• AI-focused environment: Daily use of advanced AI models and coding agents, with opportunities to build custom tools, integrations, and evaluation systems.
• Product impact: Direct collaboration with clinicians and operations teams to develop technology addressing real healthcare challenges.
• Technical breadth: Exposure to a modern technology stack spanning Python, Kotlin, TypeScript, React, Next.js, React Native, PostgreSQL, Snowflake, AWS, and AI technologies.
• Autonomy: Flat engineering structure offering broad platform exposure and significant responsibility for technical decisions and delivery.