Agentic AI Developer at DRT Strategies, Inc.
Silver Spring, MD
$99,840–$128,960
Jul 27, 2026
Silver Spring, MD
Jul 29, 2026
What this job asks for AI summary
An AI developer role supporting a federal health agency (FDA/CDRH) program, focused on designing, building, and deploying autonomous AI agent systems to augment human workflows. The work involves building agentic pipelines with LLMs, prompt engineering, RAG, and multi-agent orchestration, then integrating those agents with external tools and enterprise systems. Candidates should have a software development background with hands-on LLM/AI application experience.
Mid level · 3+ years · Contract
Pay in the description: $48–$62/hr
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How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (10)
The posting states 'No agencies, third parties, or Corp-to-Corp submissions,' indicating this is a W2 contract engagement rather than a full-time hire; classified as Contract accordingly.
A US government Public Trust clearance is required (must hold or be able to obtain). This is not a national security clearance (Secret/TS), so the clearance requirement is set to None — Public Trust is a suitability determination, not a formal clearance level in the Secret/TS sense.
Candidates must be US citizens or lawful permanent residents per contract requirements.
The Bachelor's degree is listed as 'Preferred,' not required, so the degree requirement is None.
The LLM API examples (Anthropic Claude, OpenAI GPT, Google Gemini) are listed as illustrative options under a single requirement; Claude is used as the primary name with the others as alternatives.
Vector database examples (Pinecone, Weaviate, ChromaDB, pgvector) appear under a 'Familiarity with' qualifier in the required section — captured as preferred given the softer framing.
Multi-agent systems experience and FedRAMP/ATO familiarity are listed under Preferred Experience.
AI/ML certifications (AWS ML Specialty, Google Professional ML Engineer) appear only as preferred; AWS and Google Cloud are captured as preferred skills to reflect this.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): multi-agent orchestration.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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