Inversion
Senior Applied AI Engineer
Playa Vista, California, United States · Senior
Work authorization required$139k-$201kDetected 11 days ago
JavaScriptTypeScriptFull-Stack DevelopmentSparkLLMsRAGA/B TestingComplianceLogisticsResearch
About the role
- 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.
- You will be a key member of the Internal Software Tools team, reporting directly to the Director of Software.
Responsibilities
- 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.
- 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.
- Develop agent platforms and supporting infrastructure that can safely and reliably perform tasks such as information retrieval, document analysis, workflow automation, and software development assistance.
- Research and validate technical approaches for internal knowledge access and agent behavior, including retrieval-augmented generation, tool use, prompt architecture, and model evaluation methods.
Requirements
- Experience with fine-tuning, model experimentation, or other techniques for adapting foundation models to specific domains or workflows.
- Familiarity with TypeScript/Javascript and full-stack development for internal tools and user-facing AI applications.
- Prior experience in a small team or startup environment where you were expected to define scope, set direction, and execute with a high degree of ownership.
- Experience building internal AI assistants, coding agents, workflow automation systems, or knowledge assistants for enterprise or technical teams.
- Experience designing retrieval systems over large internal document sets, including search, indexing, chunking, ranking, metadata strategies, or RAG-style architectures.
Compensation
- The California annual base salary for this role is currently $139,000 - $201,000.
Benefits
- Help define the long-term product and technical vision for how AI tools should be used across the company as Inversion's first AI-focused engineer.
Company info
- 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.
- 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.
Equal opportunity
- Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability.
- Inversion collects and processes personal data in accordance with applicable data protection laws.
Visa & Work Authorization
- citizen, lawful permanent resident of the U
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This listing is sourced directly from Inversion's careers page and normalized into a canonical job model.