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Invariant AI, Engineering

Founding Engineer at Invariant AI

Location
San Francisco, United States
Compensation
$350k-$400k + Equity

Join Invariant AI as our first engineering hire to build autonomous agents for high-stakes regulatory filings in the space and nuclear sectors. Backed by Entrepreneur First and led by founders from Warner Bros and YC-backed Aspora, you will develop a custom internal agentic architecture beyond standard frameworks.

This SF-based, ITAR-compliant role offers a founding-level equity package and direct ownership of RAG pipelines and customer deployments. If you've shipped production agents at scale and want to solve the physical economy's most complex regulatory challenges, this is your chance to build the future of AI-driven compliance.

What's the next step?

Invariant AI are hiring from Jack's network. Talk to Jack for free and get a direct introduction to the team, if a good fit.

Role overview

As the first engineering hire at Invariant AI, you will build and maintain production agent workflows that draft regulatory filings with verifiable citations. Working directly with the founders, you’ll manage the full lifecycle from RAG optimization and internal architecture to forward-deployed customer sessions, ensuring every filing claim traces directly back to complex rule corpora.

About Invariant AI

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]

Open roles at Invariant AI

What you will do

  • Design and maintain production Python services using FastAPI and background workers that stream progress into a Next.js interface.
  • Optimize retrieval over massive rule corpora using advanced chunking, pgvector embeddings, reranking, and behavioral evaluation harnesses.
  • Work directly with customers in space and nuclear industries to review agent outputs and ship rapid fixes based on real-world edge cases.

Who this is a fit for

  • Has 3-5 years of experience building production-grade agent systems at companies like Harvey, Hebbia, or EvenUp.
  • Possesses deep technical knowledge of agent orchestration, RAG pipelines, and failure mode handling without relying on third-party frameworks.
  • Must be a US Citizen due to ITAR requirements for handling sensitive data within the space and nuclear sectors.

Why this role is remarkable

  • Founding-level ownership with a significant equity package at a pre-seed stage company backed by Entrepreneur First.
  • Build high-stakes AI for the physical economy, specifically solving regulatory hurdles for mission-critical space and nuclear companies.
  • Move beyond standard framework wiring by developing a custom internal agentic architecture and handling real-world data from day one.

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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Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.

What happens next?

  1. Jack’s an AI agent for job searching and career coaching. He works for you.

  2. Jill is the AI recruiter working for the company. She recruits from Jack’s network.

  3. 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.

Learn about Jack