Founding Engineer (Full-Stack) - India

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Healthtech • Software • Automation
The Role
Work with founders to design, build, and scale full-stack production applications and core infrastructure for healthcare AI products. Own architecture, CI/CD and cloud deployments, observability, security, and developer experience; prototype frontends, backends, and AI integrations.
Summary Generated by Built In

We’re looking for a founding engineer to help shape and build the technical foundation of TriFetch. You’ll work directly with the founders to design, build, and scale the core infrastructure and applications that power our healthcare AI products. This is an opportunity to own meaningful systems end-to-end, make architectural decisions from first principles, and influence the direction of the company from day one.Responsibilities

  • Build and scale production-ready applications across frontend and backend.

  • Design and maintain CI/CD pipelines, cloud deployments (GCP, Azure, AWS), and infrastructure automation.

  • Architect and optimize systems for performance, scalability, and security.

  • Collaborate directly with founders on technical strategy, product design, and roadmap execution.

  • Debug, monitor, and improve app reliability and developer experience.

  • Prototype fast, moving fluidly between backend systems, frontend UX, and AI demo integrations.

Requirements

  • BS in Computer Science, Engineering, or equivalent discipline

  • Strong experience with modern full-stack development (frontend + backend).

  • Proficiency in TypeScript, React, and common frontend tooling.

  • Strong backend expertise in Node.js and Python, including REST API design and security best practices.

  • Hands-on experience with PostgreSQL (schema design, optimization, monitoring).

  • High proficiency in containerization, microservices, and distributed system design.

  • Experience building and maintaining CI/CD pipelines and cloud deployments and observability (monitoring, alerting, logging).

  • Strong understanding of authentication/authorization, secrets management, and app hardening.

Nice to Have

  • Experience with Cloud Run, Kubernetes, or similar orchestration frameworks.

  • Familiarity with AI/LLM post-training and integrations (OpenAI, Gemini, Anthropic, xAI).

  • Prior experience in a fast-moving startup or as a founding team member.

  • Bonus: experience with medical, scientific, or data-intensive applications.

Perks:

Founding-level equity
High autonomy
Deep technical challenges
Lunch and Uber reimbursements

Skills Required

  • BS in Computer Science, Engineering, or equivalent discipline
  • Modern full-stack development experience (frontend + backend)
  • Proficiency in TypeScript and React
  • Strong backend expertise in Node.js and Python
  • REST API design and security best practices
  • Hands-on experience with PostgreSQL (schema design, optimization, monitoring)
  • Experience with containerization, microservices, and distributed system design
  • Experience building and maintaining CI/CD pipelines, cloud deployments, and observability (monitoring, alerting, logging)
  • Understanding of authentication/authorization, secrets management, and app hardening
  • Experience with Cloud Run or Kubernetes (orchestration frameworks)
  • Familiarity with AI/LLM integrations (OpenAI, Gemini, Anthropic, xAI)
  • Prior startup or founding team experience
  • Experience with medical, scientific, or data-intensive applications
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The Company
0 Employees

What We Do

TriFetch is a San Francisco-based healthcare AI startup that provides an end-to-end automation platform for independent specialty clinics and multi-specialty groups. The company automates critical administrative workflows, including patient calls, scheduling, referral processing, and prior authorizations. By reducing the administrative burden on staff, TriFetch enables healthcare providers to focus more on patient care while integrating seamlessly with existing EMR systems.

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