Forward Deployed Engineer, Federal

About the CompanyWe'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 RoleThis 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.ResponsibilitiesDesign and build AI-driven tools for federal or enterprise use casesTune prompts and fine-tune models for real-time deploymentBuild internal tooling to automate and harden workflows in secure environmentsAnalyze system logs and outputs to improve reliability and auditabilityCollaborate cross-functionally to refine SDKs, improve usability, and drive technical clarity with external partners Qualifications2+ years of software engineering experience; strong Python, Rust, and/or TypeScript skillsFamiliar with prompt engineering, model tuning, or LLM evaluation workflowsExperienced working with sensitive data or in secure/regulated environmentsStrong communicator and systems thinker who can navigate ambiguityAbility to work on-site with government users, including classified or secure environmentsU.S. government clearance Required SkillsExperience working with government or DoD clientsStrong background in AI/ML infrastructure, model deployment, or evaluation frameworksFamiliarity with government/defense platforms (Palantir, TAK, AWS GovCloud, etc.)