Government AI Forward-Deployed Engineer: LLM Agents & RAG

vibehackers; Washington (District of Columbia); Hybride; USD 150 000 - 250 000; Plein temps

Avantages offerts par ce poste

Equity 0.5–1%

Top-secret clearance sponsorship

In-office five days a week

Résumé du poste

vibehackers is seeking an AI Forward Deployed Engineer to embed with government customers and build agentic LLM systems that detect fraud and misuse in government spending. You will blend applied AI research with production engineering, delivering end-to-end pipelines and evidence-backed fraud cases.

Based in Washington, DC (onsite five days a week), you will work on defense, homeland security, and health/government teams with top-secret clearance sponsorship where required.

Qualifications

• 1–4 years of production engineering experience owning live systems.
• Strong Python skills and hands-on experience with LLMs and agents.
• Experience with data pipelines and ML infrastructure.
• Strong communication skills for government stakeholders.

Responsabilités

• Build agent systems from prototype through production.
• Develop LLM apps using RAG, tool-calling and multi-agent setups.
• Design pipelines to curate data and evaluate models.
• Implement and operate infrastructure for inference and deployment.
• Collaborate with government customers and represent the company.

Connaissances

Python

LLM & Agents

RAG & Tool-Calling

Multi-Agent Systems

Data Pipelines

ML Infrastructure

Communication

Customer-facing

Security Clearance

Team Collaboration

Description du poste

vibehackers is seeking an AI Forward Deployed Engineer to embed with government customers and build agentic LLM systems that detect fraud and misuse in government spending. You will blend applied AI research with production engineering, delivering end-to-end pipelines and evidence-backed fraud cases.

Based in Washington, DC (onsite five days a week), you will work on defense, homeland security, and health/government teams with top-secret clearance sponsorship where required.