Senior/Staff Software Engineer, AI/MLLocation: New York, NY / San Francisco, CA / Seattle, WA (Hybrid or Remote Eligible) Company Stage of Funding: Late-Stage Growth / Series F+ Office Type: Hybrid (NYC 3x/week) or Remote in approved hub cities Salary: $220,000 – $300,000 + Competitive Equity Visa: No sponsorship availableOur client is building the world's largest virtual clinic for women and families, serving over 2,000 employers and health plans globally.They are becoming an AI-native healthcare organization and are building foundational AI infrastructure that powers critical experiences across their platform — including chatbots, recommendation engines, search, intelligent workflows, and GenAI-powered healthcare experiences.Backed by top-tier investors including Sequoia, General Catalyst, Dragoneer, and Lux Capital, the company has raised over $425M and is operating at massive scale across fertility, maternity, pediatrics, menopause, and family healthcare.This is an opportunity to join a foundational AI engineering team where you will directly shape the future of AI-powered healthcare products used by millions of users.What You Will DoDesign, build, and deploy end-to-end AI-powered applications and infrastructureBuild production-grade LLM systems using RAG, agent frameworks, orchestration layers, and modern AI toolingDevelop AI-powered chatbots, recommendation engines, search systems, and intelligent workflowsOwn AI/ML product development from 0-to-1, from architecture through production deploymentDesign scalable ML pipelines for experimentation, fine-tuning, evaluation, and deploymentWork closely with product, data, analytics, and engineering teams to deliver AI-native product experiencesBuild backend systems and APIs supporting AI workloads and inference pipelinesDrive technical architecture and engineering best practices across AI systemsWork with modern AI platforms including OpenAI APIs, Vertex AI, PyTorch, TensorFlow, and agent frameworksTranslate healthcare and user data into intelligent, production-ready AI systemsContribute to AI platform strategy and help shape the company's long-term AI roadmapOperate autonomously in a fast-moving, highly ambiguous AI product environmentBalance rapid iteration with scalability, safety, reliability, and performanceCollaborate cross-functionally with product and business stakeholders to identify impactful AI opportunitiesStay current with emerging LLM, RAG, and agentic AI technologies and integrate them into production systemsIdeal Candidate Background6–15 years of experience in software engineering or AI/ML engineering roles Strong software engineering foundation with backend-heavy product engineering experience Experience building AI/ML products end-to-end in production environments Hands-on experience with LLMs, RAG systems, and agent frameworks Experience shipping production AI products from 0-to-1 Strong Python engineering experience Experience with chatbot systems, recommendation engines, search, or GenAI applications Experience working across the full ML lifecycle including ingestion, preprocessing, training, deployment, and monitoring Strong distributed systems and backend architecture skills Experience collaborating closely with product and cross-functional teams Comfortable operating autonomously in fast-moving startup or high-growth environments Strong builder mentality with high ownership and execution ability Comfortable writing production-grade code without heavy AI tooling dependence Ability to explain AI systems and technical tradeoffs clearly to non-technical stakeholdersCompensation and BenefitsBase salary: $220,000 – $300,000 Competitive equity package Opportunity to help build foundational AI infrastructure at massive scale Work directly on cutting-edge AI systems impacting millions of healthcare users Exposure to advanced LLM, RAG, and agentic AI deployment challenges Strong technical ownership and autonomy High-growth healthcare AI company trajectory Backed by Sequoia, General Catalyst, and other top-tier investors Collaborative, product-focused AI engineering cultureWhy JoinThis is an opportunity to join one of the most ambitious AI transformations happening in healthcare today.You'll work on foundational AI systems powering healthcare experiences at massive scale while helping define how AI-native healthcare products get built responsibly and effectively.If you enjoy building production AI systems, shipping 0-to-1 AI products, solving hard engineering problems, and operating at the intersection of backend engineering and modern AI infrastructure, this role offers exceptional scope and impact.