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Software Engineer Intern at Invariant AI

Join Invariant AI as a founding-caliber intern in San Francisco to build autonomous agents that automate regulatory compliance for the space industry. You’ll work directly with the founders to ship production Python code that helps satellite operators navigate FCC, FAA, and ITAR filings. This is a rare opportunity to earn real equity and a potential full-time offer while helping companies get hardware to the launch pad faster.

What's the next step?

Invariant AI

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Location

San Francisco, United States

Compensation

$3k-$5k/month + Equity

Company

Invariant AI

Role overview

Join Invariant AI as a founding-caliber Software Engineer Intern in San Francisco. You will build production-grade agent workflows that draft regulatory submissions for space missions. Working directly with the founders and CTO, you’ll ship Python-based services that handle sensitive aerospace data, bridging the gap between complex legal code and autonomous execution.

Invariant AI is a regulatory technology company that builds autonomous AI agents to handle mission‑critical compliance workflows for space‑tech and nuclear companies. Its platform serves as a regulatory execution layer that connects mission context, requirements, evidence, documentation, and expert oversight into a continuous path from mission design to approval, allowing engineering teams to focus on hardware and operations while Invariant’s agents manage filings and back‑office processes.[1][4][5]

The company provides engineers and consultants equipped with its AI platform who take care of regulatory and operational tasks such as FCC and ITU spectrum filings, NRC and other nuclear‑related approvals, satellite and launch‑vehicle licensing, ground station setups, and related insurance and compliance chores. Customers typically provide a few hours of an engineer’s time, after which Invariant AI’s agents and team draft, file, and monitor the necessary regulatory approvals across agencies including the FAA, FCC, NOAA, ITU, ITAR/EAR export‑control regimes, and other mission‑critical regulatory bodies.[2][5][7][9]

Invariant AI targets teams building regulated systems where regulation shapes the engineering process, giving them compliance awareness from the first sketch through test plans, verification matrices, submissions, and final certification. Its product experience centers on AI agents that work alongside project documentation and evidence, supporting drafting, citing, and reviewing of regulatory documents for complex, safety‑critical domains such as orbital missions and nuclear projects.[1][3][4][5][9]

What you will do

  • Build and maintain autonomous agent workflows that read regulatory corpora to draft filings with citations resolved back to rule text.
  • Improve retrieval over large rule corpora using chunking, embeddings in pgvector, and reranking to ensure high-accuracy outputs.
  • Develop production Python services using FastAPI and background workers, streaming progress into a Next.js interface for real-time customer visibility.

Who this is a fit for

  • Proficient in typed Python (async, mypy --strict) with experience building LLM-based applications that have successfully survived real-world user interaction.
  • Possesses enough statistical knowledge to differentiate performance improvements from noise on small evaluation sets while managing sensitive ITAR-regulated material.
  • Available for a six-month, full-time, on-site commitment in San Francisco starting September 2026, meeting all US residency requirements for ITAR compliance.

Why this role is remarkable

  • True founding-team experience with real equity in a funded company, working directly alongside the founders and CTO.
  • Mission-critical impact, shipping code that helps companies put hardware into orbit by automating thousands of pages of regulatory narrative.
  • High-velocity production environment where your work moves from customer feedback to deployed Python services within days, not months.

How Jack & Jill work together

Jack
I get to know what you’re great at, then find roles you’d never find yourself.
Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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What happens next?

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 your profile’s a match and Invariant AI wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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