Forward Deployed AI Engineer

Posted Yesterday
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Washington, DC, USA
In-Office
150K-250K Annually
Mid level
Professional Services • Consulting
The Role
Design, build, and deploy LLM-powered applications and autonomous agents from prototype through production. Own data preparation, model evaluation, infrastructure, security, uptime, and ongoing system hardening. Work onsite with public-sector partners, translate technical concepts for nontechnical stakeholders, and support successful solution adoption. The role requires strong Python and production engineering skills, experience with machine learning infrastructure and data workflows, and collaborative communication.
Summary Generated by Built In

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

Skills Required

  • 1 to 4 years of production software engineering experience
  • Strong Python skills
  • History of delivering systems end to end
  • Hands-on experience building LLM-based applications and autonomous agent systems
  • Strong engineering fundamentals and deep technical understanding
  • Experience owning data workflows and supporting machine learning infrastructure
  • Excellent verbal communication and collaborative working style
  • Ability to work in the office five days per week
  • Located in or able to quickly relocate to the Washington, DC area
  • US citizenship for some positions on the team
  • Availability to start as soon as possible
  • Active US security clearance
  • Experience with 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
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The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

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