About the role
Turning Space into a Transportation Layer for Earth
Who We Are:
Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.
What You'll Do:
As a Senior Applied AI Engineer at Inversion, you will define and build the company’s internal AI tooling strategy from the ground up. You will own the research, development, deployment, and iteration of AI systems that help teams across the company work faster and make better decisions, beginning with software engineering workflows and expanding to broader company-wide use cases. This role is cross-functional and ambiguous by design: you will identify high-leverage opportunities, prototype quickly, harden what works, and help shape what AI-enabled work should look like at Inversion. You will be a key member of the Internal Software Tools team, reporting directly to the Director of Software.
Key Responsibilities:
- Design, build, and deploy internal AI systems and agent-based workflows that unlock useful AI capabilities for teams across the company.
- Own the end-to-end lifecycle of applied AI tools, including problem definition, prototyping, evaluation, deployment, monitoring, iteration, and long-term maintenance.