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AI Engineer

Pathwork — Tracked from its ashby job board

San Francisco - Presidio Mid $175K – $275K • Offers Equity Posted Jan 21, 2026
TypeScriptJavaScriptPythonSQLReactNext.jsNode.jsCloudFull-StackAI/LLMML

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predictive models, and generative AI to transform insurance distribution—bringing speed, structure, and intelligence to outdated workflows.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.

⚡ JobLarper watched this role appear on Pathwork's official board on Jan 21, 2026. Sign up free to get alerted minutes after roles like this go live, and tailor your real résumé to the exact description — nothing invented.

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