AI Engineer
Pathwork — Tracked from its ashby job board
About the role
AI Engineer
Location: San Francisco
ABOUT PATHWORK
Pathwork is redesigning life & health insurance jobs for the AI age. We believe the 2.5M professionals in the $1T life and health insurance industry don’t need better tools; they need a new operating system.
We’ve already proven it:
- 100+ top brokerages and national carriers use Pathwork
- Active pilots with multiple top-10 insurance companies
- 150%+ QoQ growth, every quarter since launch
Built from day one as AI-native, Pathwork uses agentic orchestration, structured data pipelines, predictive models, and generative AI to transform insurance distribution—bringing speed, structure, and intelligence to outdated workflows.
WHY JOIN US
- Category-defining product already in use by national brokerages and insurers
- $3.75M in funding from top VCs
- Deep founder experience: Work closely with experienced founders who’ve built and scaled companies from zero to IPO in insurance and AI
- Scenic, focused, intentional: Work from the Presidio in SF or our Domino Park office in Brooklyn—spaces built for walking meetings, deep work, and ambitious thinking.
- Early team, deep ownership, real impact: You’ll shape the systems, the stack, and the trajectory of the product.
- High-trust & Long-term oriented: Grow with a team that values trust, authenticity, learning, and lasting impact. Your contributions will help shape our product, culture, and the long-term legacy of the company.
OUR STACK
Python · TypeScript · Node.js · FastAPI · Postgres · Qdrant · LangGraph · Whisper · AWS (Lambda, EC2, ECS, S3) · Terraform · React · Next.js
ABOUT THE ROLE
We’re hiring an AI engineer, a full-stack, strategic builder who can take a large project from a working prototype to an industry-defining product. You’ll lead development of our agentic AI systems, owning model orchestration, retrieval, real-time inference, evaluation, and production infrastructure, and collaborating closely with the founding team on product and technical strategy.
WHAT YOU’LL OWN
- Build the engine: Design and own end-to-end agentic systems—retrieval, orchestration, inference, eval, and feedback loops
- Scale the stack: Shape our architecture across model interfaces, data pipelines, vector DBs, and streaming infrastructure
- Ship fast: Partner with product and design to prototype, test, and launch AI-driven features that deliver real value
- Improve performance: Continuously optimize accuracy, latency, and robustness through fine-tuning, eval frameworks, and data iteration
- Learn from the field: Join sales and customer calls to understand real-world pain points, pressure-test features, and translate feedback into product improvements
- Support growth: Build infrastructure and tools that help the whole company move faster—debugging, observability, agent testing
- Build your team: Hire, mentor, and collaborate with engineers who care about craft, velocity, and real-world impact
YOU MIGHT BE A FIT IF YOU...
- Have 5–10 years of experience building AI or ML-powered systems, ideally in high-growth or early-stage environments
- Have shipped real products that use LLMs, retrieval, orchestration, or streaming inference—not just prototypes
- Think full-stack, end-to-end: You’re comfortable moving between modeling, infra, and product-facing code
- Have an entrepreneurial mindset and thrive on building from scratch—systems, processes, tools, and the team
- Can explain complex ideas clearly, especially to non-technical teammates, customers, and stakeholders
- Thrive in ambiguity and take ownership in fast-paced, high-trust environments
- Bonus: Experience with vertical software businesses or agentic AI systems
WHAT YOU’LL GET
- Competitive comp + meaningful equity
- Employee-centric benefits including:
- High 401(k( match and FSA program
- Modern, employer-paid health benefits designed to support you on your terms
- Real ownership, autonomy, and direct collaboration with the founders
- A chance to define a category and shape a product from scratch
- You'll work side-by-side with the founding team, shape our rituals, and help create the moments and memories that define our company.
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 5 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names ML, AI/LLM, Python, Cloud.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
Similar Machine Learning Engineer roles at other companies
- Staff Machine Learning Engineer, Tools and Framework AIApple · Cupertino, United States
- Staff Machine Learning Engineer, Agentic Systems - MoveworksElement AI · Mountain View, CALIFORNIA, US
- Staff Machine Learning Engineer, Agentic App PlatformElement AI · Mountain View, CALIFORNIA, US
- Display Algorithm Engineer / Machine Learning EngineerApple · San Francisco Bay Area, United States
- Senior Clinical Research ScientistOmada Health · Remote, USA · Remote
- ML Software Research EngineerApple · Pittsburgh, United States
- AI EngineerForward Networks · Santa Clara
- PhD Research Scientist Intern - Reinforcement Learning, ImagesCanva · London, England, GB
Browse all machine learning engineer jobs in united states — 658 open roles across 272 companies.