Forward Deployed AI Engineer

The Role Raydar is recruiting for this role on behalf of our client. Design, build and ship AI-driven software from early prototype to production while working side by side with public-sector partners in their own environments. The position combines applied AI engineering with production systems work and calls for clear explanations of technical topics to non-technical audiences. What You'll Do Design and deliver applications powered by large language models, including autonomous agents that use tools and retrieve information from data sources. Work on-site with partner teams to understand their needs and help them adopt the solutions successfully. Create the data preparation and model assessment workflows that feed ongoing model improvement. Maintain the infrastructure used to serve, test and release models. Convert raw data, models and internal tooling into dependable operational capabilities. Take responsibility for a system from initial scoping through launch and ongoing hardening, including security and uptime. Explain technical ideas to non-technical stakeholders and represent the company professionally. What We're Looking For 1 to 4 years of production software engineering experience. Strong Python skills and a history of delivering systems end to end. Hands-on experience building LLM-based applications and autonomous agent systems. Solid engineering fundamentals and real depth of technical understanding. Experience owning data workflows and the supporting machine learning infrastructure. Excellent verbal communication and a collaborative, low-ego working style. Ability to work in the office five days a week and to be located in, or relocate quickly to, the area. US citizenship is required for some positions on the team. Availability to start as soon as possible. Bonus Points Active US security clearance. Experience on government, defense or national security programs. Background with healthcare data or fraud analytics. Experience tuning and evaluating models on custom datasets. Exposure to reinforcement learning or simulated training environments. Experience as a startup founder or founding engineer. Location And Work Model Washington, DC, United States On-site, in office 5 days per week Full-time Compensation, As The Posting Describes It Equity Software Company