⚡ Senior AI Engineer

💡 AI Healthcare | Digital Twin + GenAI

🌎 Remote, USA

💸 $200k – $220k + equity

Join a fast-scaling, mission-driven digital health company reinventing care for metabolic disease using AI Digital Twin technology. This role sits on the Core AI team, building production AI systems that directly improve real patient outcomes.

You’ll ship GenAI, agent-based, and deep learning features used daily by members — blending predictive + generative AI to deliver truly personalized (“N of 1”) health recommendations.

🧠 What You’ll Do

• Own the end-to-end AI product lifecycle: ideation → prototyping → deployment → optimization

• Build and ship LLM-powered applications, conversational agents, and personalized recommendation systems

• Apply advanced prompt engineering, RAG, deep learning, and AI eval frameworks in production

• Develop ML models that drive sustained behavior change across diabetes, weight loss, and metabolic health

• Influence product roadmap through deep analysis of member behavior and outcomes

• Collaborate closely with clinical, medical research, product, and engineering teams to deliver measurable impact

✅ What They’re Looking For

• 5+ years building production AI / ML systems

• Strong experience with LLMs, Generative AI, RAG, prompt engineering, and iterative evals

• Hands-on background in deep learning and model optimization

• Python expertise + large-scale data analysis (SQL, Snowflake, etc.)

• Experience with consumer-facing AI features strongly preferred

• Voice AI, multimodal models, or specialized LMs are a plus

• Healthcare experience helpful but not required

🚀 Why This Role

• AI used directly by real patients, not demos or internal tooling

• Cutting-edge work across GenAI + predictive ML + agents

• Highly collaborative, mission-first engineering culture

• Backed by top-tier global investors and $100M+ raised

• Massive runway for growth and impact

🎁 Compensation & Perks

• 💸 $200,000 – $220,000 base salary

• 📈 Equity participation

• 🌴 Unlimited PTO (manager-approved)

• 👶 16 weeks paid parental leave (8 weeks non-delivering)

• 🏥 100% covered medical/dental/vision (80% for family)

• 💼 401(k) + HSA / FSA options

• 🌎 Fully remote (US-based, work authorization required)