AI Engineer

Pathwork
  • San Francisco, California
    30+ days ago

    Job Description

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models, and generative AI to transform insurance distribution—bringing speed, structure, and intelligence to outdated workflows.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

    Numbers & Facts

    LocationSan Francisco, California

    Skills

    • AWS Lambdaunmatched
    • Amazon Elastic Compute Cloud (EC2)unmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Artificial Intelligence (AI)unmatched
    • Category Developmentunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Debugging Skillsunmatched
    • Entrepreneurshipunmatched
    • Health Insuranceunmatched
    • Health Planunmatched
    • Insuranceunmatched
    • JavaScriptunmatched
    • Life Insuranceunmatched
    • Mentoringunmatched
    • Node.jsunmatched
    • Operating Systemsunmatched
    • Performance Managementunmatched
    • Performance Tuning/Optimizationunmatched
    • PostgreSQLunmatched
    • Predictive Modelingunmatched
    • Product Designunmatched
    • Product Strategyunmatched
    • Prototypingunmatched
    • Python Programming/Scripting Languageunmatched
    • React.jsunmatched
    • Salesunmatched
    • Structured Dataunmatched
    • Team Buildingunmatched
    • Team Lead/Managerunmatched
    • Technical Recruitingunmatched
    • Technical Strategyunmatched
    • Testingunmatched

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