Senior Backend Engineer, AI-powered Health Platform

Roger Healthcare; San Francisco (CA); On-site; USD 160,000 - 230,000; Full time

Job summary

Roger is seeking a Senior Software Engineer to scale core services powering our AI-driven healthcare platform. You will build backend systems with FastAPI using MongoDB and Postgres, and interface with Generative AI models and LLMs in production.

You will mentor juniors and collaborate with senior engineers as we scale. You will ship complex backend services, improve observability, and deploy on Docker/AWS.

Qualifications

• 7+ years of professional software engineering experience with backend focus.
• 2+ years shipping features in high-growth startups (preferred).
• Experience designing distributed systems or data-heavy backends.
• Experience with Generative AI/LLM-powered systems in production or strong interest.
• Product mindset and ability to collaborate with cross-functional teams.
• Comfort operating in ambiguity and moving quickly without sacrificing quality.
• High standards for reliability, clarity, and maintainability.

Responsibilities

• Develop and ship complex backend services using FastAPI with MongoDB/Postgres.
• Create APIs and infrastructure interfacing with LLMs and AI models.
• Leverage AI-assisted tools to accelerate high-quality engineering output.
• Prototype MVPs and scale them into secure, reliable production systems.
• Improve backend architecture, observability, and code quality standards.
• Deploy services using Docker and AWS in production environments.
• Mentor junior engineers and collaborate with senior engineers as we scale.

Skills

Backend collaboration

Distributed systems

Generative AI

LLM

API design

Docker

AWS

FastAPI

MongoDB

Postgres

Tools

FastAPI

MongoDB

PostgreSQL

Docker

AWS

Observability

Job description

Roger is seeking a Senior Software Engineer to scale core services powering our AI-driven healthcare platform. You will build backend systems with FastAPI using MongoDB and Postgres, and interface with Generative AI models and LLMs in production.

You will mentor juniors and collaborate with senior engineers as we scale. You will ship complex backend services, improve observability, and deploy on Docker/AWS.