Job Details

We're supporting a confidential AI company that's quietly building some of the most impactful applied AI systems in the world.

They're a well-funded, mission-driven company working at the intersection of national security, machine learning, and enterprise software. Backed by top investors and led by a world-class team of engineers and researchers, the company is scaling its public sector team.

About the Role

This is a hands-on, high-trust engineering role for a full-stack or ML-savvy software engineer who thrives at the edge of research and deployment. You'll work directly with mission-critical stakeholders to scope, build, and ship AI-powered tools that solve real-world problems in secure and regulated environments.

Example responsibilities:

• Design and build AI-driven tools for federal or enterprise use cases
• Tune prompts and fine-tune models for real-time deployment
• Build internal tooling to automate and harden workflows in secure environments
• Analyze system logs and outputs to improve reliability and auditability
• Collaborate cross-functionally to refine SDKs, improve usability, and drive technical clarity with external partners

• 1+ years of software engineering experience; strong Python, Rust, and/or TypeScript skills
• Familiar with prompt engineering, model tuning, or LLM evaluation workflows
• Experienced working with sensitive data or in secure/regulated environments
• Strong communicator and systems thinker who can navigate ambiguity
• Previously held or eligible for U.S. government clearance (Secret or TS/SCI)

• Experience working with government or DoD clients
• Strong background in AI/ML infrastructure, model deployment, or evaluation frameworks
• Familiarity with tools like Terraform, or secure cloud infrastructure