Full-stack Founding Engineer (AI/Healthcare)
Company Description
ReClym is an early-stage (fundraising) startup building the AI-powered operating system for independent therapy practices. We're solving two of the biggest problems in behavioral health simultaneously: the administrative and billing burden that drives therapists out of insurance networks, and the 10,030 minutes between sessions where clinicians have zero visibility into their patients.
We're pre-seed, angel-funded, with 16 therapists signed for beta and a founding engineering team already in place. This is a ground-floor role.
Why this matters
80% of non-physician mental health providers practice out-of-network because insurance reimbursement is 22% lower than for medical providers. 40–60% of patients drop out of therapy before treatment works. 5.4 million young Americans already use AI chatbots for mental health support with zero clinical supervision.
ReClym is the only platform building a continuous data loop and doing it in a way that keeps therapists independent.
Compensation: Equity-first, with bridge salary introduced post-fundraise.
The Role
You will own the intelligence layer of the ReClym platform. Our Senior Founding Engineer owns the HIPAA-compliant infrastructure and full-stack foundation; your work runs on top of it.
This is not a research role. You will design, build, and iterate on production AI systems that real therapists and patients use from day one.
The Stack
- Python microservice communicating via API with a TypeScript/Next.js backend
- Amazon Bedrock (Claude Sonnet) for all LLM processing of PHI
- Amazon Transcribe Medical for speech-to-text
- ElevenLabs or Smallest AI for the conversational voice agents (BAA required)
- Aurora PostgreSQL for structured data storage
- GitHub Actions for CI/CD
What we're looking for
- Strong Python and LLM prompt engineering - you've built production conversational AI systems, not just demos
- Experience designing multi-agent architectures or complex conversational flows
- Comfort with HIPAA or healthcare data constraints or the discipline to learn them fast and take them seriously
- The product judgment to build AI that supports clinical decisions rather than replacing them
Nice to have: prior experience with clinical NLP, medical transcription, or behavioral health technology. Experience with Bedrock specifically.
Why Join Us
- Founding-level equity in a company redefining mental health infrastructure
- Shape core product, engineering, and culture
- Ready-to-go product distribution model
- Directly contribute to expanding access to mental healthcare
- Remote team or New York based
- Build a category-defining product from zero to one