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Full-Time | Hybrid | NYC
We’re looking for a senior-level software engineer with strong AI product experience to join a mission-driven team focused on improving access to care through intelligent, AI-enabled tools. This is a unique opportunity to lead hands-on integration of large language models and machine learning into real-world systems — with a direct impact on how individuals and organizations navigate complex support workflows.
Build and deploy AI-powered features, including tools for automation, smart documentation, and decision support
Integrate LLMs and ML services directly into the product experience to enhance user and clinical workflows
Work closely with design, ops, and product to shape user-facing AI functionality
Own core development across the stack, including backend logic and cloud deployment
Drive zero-to-one projects, shipping fast while balancing quality and reliability
Partner cross-functionally to ensure our AI tooling aligns with privacy, compliance, and ethical standards
6+ years of engineering experience, with 2+ years applying AI or LLMs in production
Track record of building and shipping full-stack AI-powered products
Proficient in Node.js, TypeScript, and/or Python
Experience deploying cloud-based applications (AWS preferred)
Strong product instincts with an ability to turn ambiguous goals into shippable features
Prior experience in early-stage or fast-moving teams — startup or high-growth environment preferred
Based in NYC and comfortable working in person 2+ days/week
Experience in healthcare, edtech, or mission-driven sectors
Background in LLM prompt engineering, API fine-tuning, or embedding-based search
Exposure to privacy-sensitive or regulated environments
Mission-driven and energized by building tech that directly improves lives
Collaborative, low-ego, and comfortable wearing many hats
Motivated to work on challenging, user-centric problems alongside a small, fast-moving team
If you’re excited about applying AI to real-world challenges and want to help define a product from the ground up, we’d love to hear from you.
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