Full Stack AI Engineer - Healthcare & LLM Apps

Storm3; California; On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Unlimited PTO

401(k) plan

Opportunity to work on LLM-enabled AI

Job summary

Storm3 is partnering with a fast-growing healthcare AI team to reduce administrative workload for home health clinicians, enabling focus on high-quality patient care in homes.

The Full Stack Software Engineer will help scale core services, work across FastAPI backends and cloud infrastructure, and ship production-grade systems with integrated LLM-driven workflows in clinical operations.

Qualifications

• 3+ years of professional software engineering experience.
• Strong backend fundamentals (APIs, databases, basic system design).
• Familiarity with Python and AI tooling to work with Generative AI/LLMs.
• Exposure to Docker and cloud platforms or strong willingness to learn.
• Collaborative mindset and ownership of reliable, maintainable systems.

Responsibilities

• Build and ship services and APIs using FastAPI with MongoDB or PostgreSQL.
• Develop APIs and infrastructure integrating LLMs and Generative AI models.
• Use AI-assisted development tools to increase velocity while maintaining quality.
• Convert prototypes/MVPs into secure, reliable production systems with guidance from senior engineers.
• Improve observability, testing, and code quality across the platform.
• Deploy and run services using Docker and AWS.
• Collaborate with senior engineers via code reviews and production delivery.

Skills

Python

APIs

Generative AI

Cross-functional collaboration

Cloud platforms

Tools

Docker

AWS

FastAPI

MongoDB

PostgreSQL

Job description

Storm3 is partnering with a fast-growing healthcare AI team to reduce administrative workload for home health clinicians, enabling focus on high-quality patient care in homes.

The Full Stack Software Engineer will help scale core services, work across FastAPI backends and cloud infrastructure, and ship production-grade systems with integrated LLM-driven workflows in clinical operations.