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Compensation

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Transform Healthcare with Generative AI Our client is building the safety-critical infrastructure powering Generative AI in healthcare. They provide AI governance guardrails, healthcare-specific agent creation, and real-time algorithm monitoring that enables major health systems to deploy AI safely and at scale. Their platform is already live in production environments, driving measurable impact. They are seeking a Technical Lead / Platform Engineer to help architect and scale their GenAI SaaS platform. The Role As a senior member of the engineering team, you will: Define and implement the architecture of the AI SaaS platform Lead development of core backend and platform services Drive distributed systems and scalability decisions Write clean, production-grade code Own infrastructure automation, monitoring, and reliability Mentor engineers and guide technical direction Balance speed with long-term system design in a fast-moving startup This role begins as a hands-on technical lead (IC + leadership) with clear growth toward broader technical ownership. Required Qualifications 8+ years of relevant industry experience Background at a top-tier technology organization (FAANG or similarly engineering-focused company) Experience leading engineers and owning technical direction Production experience deploying and scaling a generative AI application Expert proficiency in Python Strong TypeScript or Java Experience with Go, Rust, or another modern compiled language Deep distributed systems expertise Strong microservices and REST API design experience Cloud expertise (GCP preferred; AWS or Azure acceptable) Infrastructure as code (Terraform) CI/CD, DevOps best practices, monitoring & observability Docker and Kubernetes Strong coding ability (hands-on leadership required) Startup mindset: high ownership, low ego, collaborative Preferred Significant GCP experience Multi-cloud exposure AI/ML frameworks (PyTorch, TensorFlow) Healthcare experience Familiarity with frontend frameworks Top-tier academic background Culture & Environment Hybrid: 3 days per week in Palo Alto (Tues/Wed/Thurs) Flat, collaborative engineering culture High-growth, high-ownership environment Strong emphasis on both system design and hands-on coding Compensation & Benefits Base salary: $220,000 – $280,000 Equity package (details shared during process) Health insurance (~99% covered for employees, ~75% for dependents) Dental and vision insurance Developer-grade laptops and office equipment stipend Daily in-office meals (breakfast, lunch, dinner) Compensation will vary based on experience and qualifications. Visa Our client can accommodate H-1B transfers only (I-140 approved or significant remaining term required). If you are excited about building scalable AI systems that directly impact patient care, we would love to connect.