Staff Software Engineer

• Build end-to-end AI solutions using foundation models (OpenAI, Gemini) with RAG, agents, and multi-call orchestration
• Develop ML pipelines for experimentation, fine-tuning, and production deployment at scale
• Drive architecture decisions and technical direction across AI/ML systems
• Mentor engineers and data scientists across the organization
• Turn complex healthcare data into intelligent workflows and personalized care experiences, This isn’t wrapper work. You’ll build real AI infrastructure…fine-tuning models, designing agent systems, deploying solutions that handle complex healthcare workflows at scale.

At Staff level, you shape direction, not just execute it. Genuine ownership over how AI transforms patient care.

Our client is a market leader in virtual women’s and family healthcare. $425M+ raised from top-tier investors. Trusted by 2,000+ employers. Recognized by TIME, Fortune, and Fast Company. Stability of an established player, pace of a company still building.

• 6+ years of experience as a full-stack SWE with a strong back-end lean or as an ML Engineer with experience building AI/ML products end-to-end
• Have built AI applications with foundation models and orchestration (RAG, agents, LLMs, vector search)
• Experience in at least one of the following AI product areas: Chatbots, Recommendation Engines or other GenAI applications
• Python fluency plus backend skills in Go, Java, or similar
• Bachelor’s degree in CS, or Math, Physics, or related engineering field
• Comfortable working autonomously with little direction/support

• $220k-$300k base + equity
• 16 weeks fully paid parental leave
• Full access to their own healthcare platform for you and your family
• Annual professional development stipend and coaching
• 401K matching
• Flexible hybrid work, with in-office days focused on collaboration
• Meal perks and quarterly team “Work Together” days

Join a mission-driven, award-winning healthcare technology company as a Staff AI/ML Engineer and help shape the future of virtual care for millions. You’ll lead the design and deployment of AI-powered solutions that directly impact women’s and families’ health journeys.