Forward Deployed AI Engineer

About the company

Our client is a software company.

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.

Requirements

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.

Benefits

Compensation and benefits

Base salary

USD 150,000 to 250,000 per year

• Equity
• Health, dental and vision coverage
• Relocation support

Location and work model

• Washington, DC, United States
• On-site, in office 5 days per week
• Full-time