AI Forward Deployed Engineer
cgsBaltimore (MD)
About the role
AI Forward Deployed Engineer Washington, DC $150,000–$250,000 base + 0.5–1% equity | In-office 5 days/week | 7 openings
Level: Member of Technical Staff
Experience: 1–4 years
Start: Candidates should be available to start soon
About the Company:
This AI company is building technology to systematically identify and combat fraud, waste, and abuse in US government spending. Its agentic platform combines public and government-restricted data including federal spending and contracting databases, Medicare and Medicaid claims and reasons across that information to identify specific cases of potential fraud. The platform doesn't just surface anomalies. It provides the evidence chain auditors need to investigate and take action. The company is already in active discussions with federal health agencies, defense, homeland security, and state governments. With significant contracts within reach, the biggest constraint is now engineering capacity. The company is building its first cohort of Forward Deployed Engineers to work directly with government partners.
About the Role:
We're looking for early-career engineers who already operate like founders. As a Forward Deployed Engineer, you'll sit at the intersection of software engineering, applied AI, and real-world government missions. You'll build and deploy AI systems that solve high-impact problems, working directly with government stakeholders and taking ownership from initial concept through production. This is a Member of Technical Staff role with significant autonomy and responsibility. What You'll OwnBuild and deploy LLM-powered agent systems for real-world government applications Develop production systems using RAG, tool calling, multi-agent architectures, and advanced context management Build data pipelines and ML infrastructure supporting AI systems Take features and systems from concept through production Work directly with government stakeholders to understand problems and translate them into technical solutions Communicate complex technical concepts clearly to non-technical audiences Iterate quickly based on real-world feedback and changing requirements What We're Looking For1–4 years of professional engineering experience with genuine production ownership. We're looking for engineers with: Strong Python skills and end-to-end software engineering ability Hands-on experience shipping LLM and agent systems to production Experience with RAG, tool calling, multi-agent systems, and context management Experience building data pipelines and ML infrastructure Strong engineering fundamentals, not just AI coding-tool proficiency Excellent verbal communication skills The ability to represent the company confidently with government stakeholders A collaborative, low-ego approach A strong sense of ownership and a bias toward action Strong Backgrounds Particularly relevant experience includes: Founder or founding engineer at an AI startup Forward-deployed or applied engineering at companies such as Palantir, Anduril, Shield AI, Vannevar Labs, Scale AI Federal, or Applied Intuition Applied engineering at agentic AI companies such as Sierra, Decagon, Glean, Cresta, Perplexity, Cursor, or Cognition Experience at US government technology organizations such as USDS or 18FBig Tech experience combined with clear evidence of zero-to-one ownership Experience from startup accelerators or fellowships such as Neo, Z Fellows, South Park Commons, or Pioneer
Nice to Have:
- Active US security clearance, Secret, Top Secret, or TS/SCIExperience with Medicare, Medicaid, or healthcare fraud
- Fine-tuning and model evaluation experience
- Reinforcement learning or simulation environments
- Existing connections to Washington, DC or Northern Virginia
- Government & Location Requirements
- There are two teams within the Forward Deployed Engineering group.1. Defense & Homeland SecurityUS citizenship is required
- Work on-site at the Pentagon approximately 2–3 days per week
- Top Secret clearance sponsorship available2. Federal Health & State/Local GovernmentUS citizenship preferred
- Exceptional O-1 candidates may be considered
- Work directly with federal health agencies and state/local governments
- For all candidates:
- Must be based in Washington, DC or willing to relocate quickly
- Must work in person 5 days per week
- Must be available to start soon
- Who This Role Is Not ForThis opportunity is unlikely to be a fit for:
- Candidates with internship-only experienceEngineers without strong software fundamentals
- Candidates who rely heavily on AI coding tools without understanding the underlying systems
- Big-firm consulting backgrounds without meaningful product or engineering ownership
- Pure ML researchers without production engineering experienceEngineers who prefer to work independently without customer or stakeholder interaction
- Candidates unwilling to relocate to DC or work in person
- Candidates who are uncomfortable working on US government applications
Interview Process:
The process is designed to assess both technical depth and the ability to operate effectively with customers and stakeholders.
You'll be evaluated on your engineering fundamentals, production AI experience, problem-solving ability, communication, and ownership.
This is an opportunity to join an early FDE team, work directly on high-impact government problems, and build production AI systems where the results have real-world consequences.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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