
Software Engineer (Early Career) ($130k-$170k + 0.50% Equity) at Pax
Jack & Jill · San Francisco, CA
About this role
As an early-career engineer at Pax, you will build agentic AI systems to navigate global trade compliance and tariff recovery. You will own product features end-to-end, from designing robust APIs with FastAPI and SQLModel, to crafting high-quality React/Next.js interfaces. The role involves building and deploying agentic LLM systems that reconcile customs entries against federal regulations. You will work directly with the founders from MIT and Brex in a high-energy, in-person environment, and work with enterprise clients to forward-deploy solutions. The company is a seed-funded YC S24 startup building an AI control tower for global trade.
Skills & technologies
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Job Title
Software Engineer (Early Career)
Salary
$130k-$170k + 0.50% Equity
Company Description
Pax is a $4.5M seed-funded YC S24 startup building the AI control tower for global trade compliance and tariff recovery. Backed by Initialized Capital and General Catalyst, Pax helps enterprise giants like Verkada and Kodak reclaim millions in duty refunds by automating complex federal regulations using agentic AI models.
Job Description
As an early-career engineer at Pax, you will build agentic AI systems that navigate the complexities of global trade. You'll own features end-to-end—from API design to crisp UI—transforming fragmented customs data into structured refunds. Working directly with founders from MIT and Brex, you’ll ship production code in your first week.
Location
San Francisco, USA
Why this role is remarkable
- Ship a real feature to production in your first week and take full ownership of an entire product vertical within your first 90 days.
- Work alongside a world-class founding team including a PhD from MIT and repeat founders from Flexport, Brex, TikTok, and Amazon.
- Transform a 200-year-old industry by building LLM-powered audit agents that address a massive $10B/year opportunity hiding in plain sight.
- Own product features end-to-end, including designing robust APIs, implementing backend logic in FastAPI, and crafting high-quality React/Next.js interfaces.
- Build and deploy agentic LLM systems that process millions in annual trade volume by reconciling customs entries against thousands of pages of federal regulations.
- Work directly with enterprise clients to forward-deploy solutions, incorporating real-time feedback into the product to solve immediate global trade compliance challenges.
- A dedicated builder with a portfolio of shipped projects, side projects, or open-source contributions that demonstrate deep technical curiosity and high ownership.
- Proficient in modern web development with hands-on experience using React, Next.js, and backend frameworks like FastAPI, SQLModel, or Postgres.
- A fast-learning engineer who thrives in high-energy, in-person environments and is eager to apply LLMs to solve complex, real-world data extraction problems.
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
- Jack's an AI agent for job searching and career coaching. He works for you.
- Jill is the AI recruiter working for the company. She recruits from Jack's network.
- If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
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