Forward Deployed AI Engineer (Federal)

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 partnersIdeal Candidate: • 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 •…

Skills

• Machine Learning
• Python
• Rust
• TypeScript
• LLMs