Agent Software Engineer


Agent Software Engineer

San Francisco, CA (Onsite)

Compensation: $150,000 – $215,000 base
(Dependent on experience, performance, and leveling)
No visa sponsorship available


The Opportunity

This isn’t a “build internal tools” role — and it’s not an AI demo shop.

Assort is building AI agents that operate inside real healthcare workflows — systems that don’t just generate output, but take action in environments where correctness, reliability, and execution actually matter.

The company has already crossed the hardest threshold:

real product-market fit with live, scaling customers

Now they’re in a high-leverage phase where:

  • demand is accelerating quickly
  • workflows are complex and evolving
  • and engineering is the bottleneck to scale

The platform is already handling meaningful real-world volume, and the next engineers will help turn that traction into durable product and infrastructure.

You won’t be polishing UI or shipping low-leverage features.

> You’ll be building systems that directly impact how people access and navigate care.


Why This Role Stands Out

AI that actually executes
You’re building agents that perform real tasks across healthcare systems — not just chat interfaces or wrappers.

Real-world complexity
Healthcare workflows are messy, fragmented, and full of edge cases — solving them requires strong engineering judgment.

Fast, high-impact cycles
You’ll ship solutions in 6–10 week cycles, directly tied to real customer problems.

Customer-close engineering
You’ll work directly with user workflows and see your systems operate in production.

Early team, real ownership
Still small — engineers own meaningful surface area and shape how the system evolves.


What You’ll Do

  • Build and ship AI-powered workflow systems for real healthcare use cases
  • Design and implement backend systems and APIs supporting complex operational logic
  • Partner closely with Agent Product Managers to translate requirements into production software
  • Own work end-to-end: design ? build ? deploy ? iterate
  • Handle messy, real-world data and edge cases across integrations
  • Contribute across the stack when needed, with a clear backend lean
  • Improve internal tooling and shared systems to increase engineering velocity
  • Work on tight timelines, delivering high-quality solutions in 6–10 week cycles
  • Collaborate with a high-caliber team across product, platform, and infrastructure

What They’re Looking For

This is a builder role. Stack matters less than ownership, speed, and fundamentals.

Core Requirements

  • 1–5 years of experience in backend or full-stack engineering
  • Strong proficiency in Python or TypeScript
  • Experience building production-grade, scalable systems
  • Strong engineering fundamentals and ability to ramp quickly
  • High agency — comfortable operating in ambiguity and moving fast

Strong Signals

  • Experience at a high-growth startup or strong product company
  • Big tech experience with clear progression
  • Background in:
    • healthcare
    • fintech
    • legaltech
    • AI
    • or other workflow-heavy domains
  • Experience with Retool
  • Strong CS fundamentals (formal or self-driven)
  • Track record of working on high-impact systems, not low-leverage UI work

What This Role Looks Like Day to Day

This role sits at the intersection of product engineering and implementation engineering.

Most engineers:

  • work closely with an Agent Product Manager
  • build custom workflow solutions for real customers
  • operate on tight timelines
  • own delivery end-to-end

Over time, some engineers may move deeper into platform or product work — but the common thread is:

>speed, ownership, and solving real problems with high-quality software


This Role Is a Great Fit If You Like

  • Moving fast without sacrificing quality
  • Owning real deliverables and outcomes
  • Working close to users and real-world problems
  • Building systems that have immediate impact
  • Being part of a team that is scaling quickly and expects a lot

What Won’t Be a Fit

  • Looking for remote or hybrid work
  • Looking for a pure research or ML role
  • Looking for a managerial path
  • Coming from slow-moving or low-rigor environments
  • Preferring highly scoped, low-ownership work

Logistics

  • Location: San Francisco, CA (fully onsite)
  • Comp: $150K – $215K base + equity
  • Work Authorization: No visa sponsorship available

#TN1


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