Software Engineer (Backend & AI/ML)

About the Company

Trellis Health is a remote-first company with primary locations in Seattle and San Francisco. We offer intuitive tools that simplify health management over time, providing personalized recommendations, tailored insights, and seamless tracking to help women make informed decisions about their health. We are an early-stage, VC-backed startup pioneering a next-generation consumer health platform focused on pregnancy and postpartum health.

About the Role

We are seeking a Backend and AI/ML focused Software Engineer to design data-heavy scalable backend systems, leverage AI architectures, and build APIs to power transformative health experiences. As a foundational member of our engineering team, you will play a pivotal role in developing the backbone of our platform in a fast-moving, mission-driven environment.

Responsibilities

• Design, build, and maintain scalable backend systems, APIs, and third-party integrations.
• Develop and manage connections with health data partners, ensuring secure, reliable, and scalable data flow.
• Implement privacy-preserving architectures, including building self-hosted LLMs and AI agents, fine-tuning models, and building AI-native applications.
• Perform extensive testing to ensure system security, reliability, and compliance with HIPAA and other regulations.
• Optimize backend systems for performance and scalability.
• Collaborate with product and design teams to deliver seamless, user-focused solutions.

Qualifications

• 5+ years of experience building scalable backend systems.
• Experience with Python is preferred.
• Experience building privacy-first and HIPAA-compliant systems.
• Experience with LLMs and AI architectures.
• Excitement for early-stage product building.

Preferred Skills

• Experience working on LLMs and building AI agents, including multi-agent systems.
• Experience with FHIR, CCDA, and related standards.
• Experience building highly secure, privacy-preserving, and robust software stacks in regulated industries (e.g., fintech, healthcare).
• Familiarity with ontologies, knowledge graphs, vector databases, and RAG.

Pay Range and Compensation Package

Salary: $120,000 - $160,000/year

Benefits

• Flexible time off.
• Generous early-stage company equity package.
• Continuing education and training support.
• Hybrid and remote-first work schedule with core hubs in Seattle and San Francisco.
• Opportunity to build something special with a devoted team.
• Scalable compensation and benefits package in line with funding roadmap and team growth.