Technical Lead Engineer

Technical Lead / Platform EngineerGenAI Healthcare SaaS Platform ?? Palo Alto, CA (Hybrid – 3 days onsite)About the RoleWe're building a next-generation generative AI platform purpose-built for healthcare — and we're looking for a hands-on Technical Lead to help architect and scale it from the ground up.This is not a "manage from a distance" role. You'll be deeply involved in system design, writing production code, guiding engineering direction, and making foundational technical decisions that shape the future of the platform. You'll work closely with leadership and product to turn complex healthcare AI requirements into scalable, reliable infrastructure.If you've led engineering efforts for production-grade AI systems and enjoy building high-performance teams and platforms, we'd love to talk.What You'll OwnArchitect and evolve the core infrastructure for a scalable AI-powered SaaS platformLead development of backend services and ensure clean integration across systemsWrite high-quality, maintainable code with long-term scalability in mindEstablish engineering best practices across architecture, CI/CD, monitoring, and DevOpsGuide and mentor engineers while maintaining a strong individual contributor presenceDefine infrastructure automation strategies (IaC, provisioning, deployment workflows)Drive performance, reliability, and observability standardsPartner with product and leadership to translate vision into executable technical milestonesWhat We're Looking ForCore Experience8+ years building and shipping production softwarePrior experience leading engineering initiatives or managing technical directionProven track record scaling a generative AI system or AI-enabled platform in productionStrong backend engineering background in PythonAdditional proficiency in TypeScript or JavaExperience with a modern compiled language such as Go or RustDeep knowledge of microservices architecture and RESTful API designHands-on expertise with one major cloud provider (AWS, GCP, or Azure)Strong experience with Infrastructure as Code (Terraform preferred)Advanced DevOps knowledge: CI/CD, automated deployments, monitoring, alertingExperience containerizing and orchestrating services with Docker and KubernetesLeadership & ExecutionComfortable setting technical direction while staying hands-onStrong communicator who can explain complex systems clearlyExperience mentoring engineers and elevating engineering standardsAbility to operate in a fast-moving, startup environmentNice to HaveExperience building or deploying ML/AI systems (TensorFlow, PyTorch, etc.)Strong GCP background (bonus if you've worked across AWS/Azure as well)Familiarity with frontend frameworks like React, Angular, or VueExperience working in healthcare, health tech, or regulated industriesWork EnvironmentThis role is based in Palo Alto with a hybrid schedule (3 days per week onsite). We provide daily meals and foster a collaborative, high-performance engineering culture.Compensation & BenefitsBase salary range: $220,000 – $280,000, depending on experience and locationMeaningful equity packageMedical, dental, and vision coverageFlexible hoursHybrid work environmentOpportunity to help shape the future of AI in healthcareIf you're excited about building a production-grade AI platform that directly impacts patient outcomes — and want to help define the technical foundation of a category-defining company — let's talk.