Agent Engineer (Senior)
Substrate · San Francisco, CA, US
Pay
$125k–200k
Setting
On-site
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Agent Engineer (Senior) at Substrate(S24)
$125K - $200K • 0.01% - 0.10%
Artificial Intelligence for your medical billing team
San Francisco, CA, US
Full-time
US citizen/visa only
3+ years
Apply now
About Substrate
Substrate is building browser based AI agents for healthcare RCM. Our goal here is to augment and replace employees, not replace any particular software a provider uses. We’ll go after the $14b outpatient RCM market, and if we’re successful, providers will finally start getting paid fairly.
We’re the right team for this problem with deep healthcare, AI & fullstack engineering expertise, multiple startups under our belt between us, and a deep network in healthcare that will help bootstrap the first customers and real revenue.
About the role
About Substrate
Substrate (www.substrate.cc) is building the world’s first AI native BPO, starting with healthcare RCM. We’re focused on helping healthcare enterprises like physician groups, EMR providers, and BPOs accelerate AR, and get reimbursed quickly and cost effectively. We already touch over 500k healthcare claims each month.
The Role
We're looking for an exceptional AI Agent engineer to help build our autonomous agent platform and rebuild legacy healthcare workflows with AI Agents at the center. You'll be instrumental in developing AI systems that are already in production, that can understand complex healthcare contracts, read EDI companion guides, utilize tools for navigating highly sensitive healthcare infrastructure, and make intelligent decisions about claims processing - all while maintaining perfect memory of every interaction.
What You'll Work On
Build and extend the Claim Status Agent - Design intelligent sub-agent architectures that orchestrate multi-route claim lookups (EDI 276/277, payer portals, direct APIs, multiple clearinghouses). You’ll implement recovery strategies that adapt in real-time to payer errors.
Develop self-enriching context systems - Create memory infra that lets our agents remember what works, which parameter combinations return actionable data, and how to route optimally across thousands of payers
Fine-tune models and build evaluation frameworks - improve precision, speed and cost on production traffic processing ~6m claims/year and growing. Design evals that catch regressions before clients do.
Expand the agent's capability surface - Integrate new modalities (voice, direct payer connections) and develop techniques for efficiently processing highly varied context across EDI companion guides, payer contracts, PDFs, images, and API outputs
You Might Be a Fit If
You have a track record of independently building and shipping ML/AI products that solve real business problems
Deep experience with modern LLM architectures, fine-tuning approaches, and utilizing evals at scale
You either have healthcare domain knowledge already, or you’re excited about using AI to automate the tedium in healthcare
You’ve either started a company before, launched and scaled independent products, or have been an early startup engineer in a team smaller than 10 people
You are both proficient as a software engineer in the traditional sense, and you've fully adopted coding agents into your workflow.
You’re excited about working in person, in San Francisco.
Some general color on what we’re looking for: https://writing.kunle.app/p/come-work-with-me-at-substrate .
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates meet every single qualification. If you’re experiencing imposter syndrome and doubting the strength of your candidacy, please don’t exclude yourself prematurely. Slope often matters far more than intercept. If you spike extremely in certain areas or not in others, or if you’re extremely interested in this work and willing to go very deep to create something special, please apply and lets chat.
Compensation
Meaningful salary and equity available.
Interview Process
We want you to show us something you've built. It can be completely by hand or it can be completely AI-generated, but we want you to explain exactly how it was built, show us what prompts you used, and in particular why you picked this problem to solve, and show us the results.
Your technical interview will feature both a pure technical part that evaluates your coding abilities and your ability to write and review code, and an AI-assisted part that shows how you are adopting AI technologies in your coding practice and what benefits you've gotten from them.
Apply now
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