Senior/Staff Software Engineer, AI/ML

Recruiting From Scratch (RFS Group)

Senior/Staff Software Engineer, AI/ML

Full time

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Remote | New York, New York | Onsite

6 - 15 Years of Experience

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Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Senior/Staff Software Engineer, AI/ML

Location: 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 available

Company Description

Our 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 Do

Design, build, and deploy end-to-end AI-powered applications and infrastructure Build production-grade LLM systems using RAG, agent frameworks, orchestration layers, and modern AI tooling Develop AI-powered chatbots, recommendation engines, search systems, and intelligent workflows Own AI/ML product development from 0-to-1, from architecture through production deployment Design scalable ML pipelines for experimentation, fine-tuning, evaluation, and deployment Work closely with product, data, analytics, and engineering teams to deliver AI-native product experiences Build backend systems and APIs supporting AI workloads and inference pipelines Drive technical architecture and engineering best practices across AI systems Work with modern AI platforms including OpenAI APIs, Vertex AI, PyTorch, TensorFlow, and agent frameworks Translate healthcare and user data into intelligent, production-ready AI systems Contribute to AI platform strategy and help shape the company’s long-term AI roadmap Operate autonomously in a fast-moving, highly ambiguous AI product environment Balance rapid iteration with scalability, safety, reliability, and performance Collaborate cross-functionally with product and business stakeholders to identify impactful AI opportunities Stay current with emerging LLM, RAG, and agentic AI technologies and integrate them into production systems

Ideal Candidate Background

6–15 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 stakeholders

Strong Signals

Experience building production LLM applications at scale Experience with RAG architectures and retrieval pipelines in production Experience with AI agent frameworks and orchestration systems Experience building chatbot, recommendation, or intelligent search systems Strong backend engineering foundation transitioning into AI/ML Experience with OpenAI APIs, Vertex AI, LangChain, LlamaIndex, or similar tooling Healthcare or digital health AI experience Experience handling high-volume production AI workloads Experience measuring production AI system performance and reliability Strong product-minded engineering instincts Experience working at high-growth product companies Experience owning projects from architecture through deployment Experience balancing ML experimentation with production engineering rigor Strong understanding of distributed systems and scalable infrastructure Experience working with PyTorch or TensorFlow Strong coding interview and system design capability Ability to discuss production metrics, scale, and operational performance of AI systems Experience building AI features with meaningful user or business impact Experience working on AI-powered user-facing products instead of purely internal ML infrastructure

Compensation and Benefits

Base 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 culture

Why Join

This 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.

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