Founding Engineer

Founding Engineer

Location: San Francisco

Compensation: $100-200k annually

Who are we?

We are an early-stage startup dedicated to transforming psychiatric care through AI-driven automation and real-time data processing. Our mission is to build cutting-edge solutions that streamline provider workflows, enhance patient outcomes, and bring efficiency to every aspect of mental healthcare.

We are looking for a high-impact backend engineer to design and scale our AI-powered healthcare platform. You will build event-driven architectures, integrate LLM-powered automation, and shape the future of AI in healthcare alongside a top-tier founding team.

What's in it for you?

• Own the architecture of a next-gen AI-driven healthcare system.
• Work directly with the founding team to shape the company's technical direction.
• Build real-time, event-driven systems that power AI automation across scheduling, billing, and patient interactions.
• Scale a secure, HIPAA-compliant backend that supports thousands of patients.
• Be at the forefront of AI in healthcare, working with LLMs and real-time data pipelines.

What will you do?

• Architect and implement a highly scalable, event-driven backend using Node.js, TypeScript, PostgreSQL, AWS, Kafka, RabbitMQ.
• Build real-time, AI-powered workflows to optimize scheduling, intake, and provider efficiency.
• Design robust event pipelines to capture and structure operational data (e.g., call transcripts, scheduling metadata).
• Ensure high availability, reliability, and security, handling sensitive PHI data while maintaining seamless performance.
• Collaborate with AI and front-end teams to build an integrated LLM-powered care delivery system.

What will you need?

• 5+ years of experience in backend engineering.
• Expertise in event-driven architectures (Kafka, RabbitMQ, event sourcing, message queues, or stateful data architectures).
• Experience with real-time data processing (webhooks, event sourcing, AI-driven automation).
• Deep understanding of security & compliance in regulated environments (HIPAA is a huge plus).
• Strong ability to work in early-stage startups, owning large-scale architecture decisions.
• Comfortable working with LLMsyou dont need deep AI expertise, but you should be excited to build AI-first systems.

Preferred:

• Founding team or early-stage startup experience (YC preferred).
• Fast career progression (e.g., rapid promotions at FAANG or high-growth startups).
• Strong GitHub portfolio, personal projects, or open-source contributions.
• Academic excellence (MIT, Harvard, or top-tier CS/engineering background preferred).