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Member of Technical Staff, Forward Deployed (US Gov), Hybrid- Full-time

Xperteez Technology · Washington, DC · Hybrid

  • Professional Services
  • 51–200 employees
  • Kolkata, West Bengal

Strong hiring record · median 41 days open

100100

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Actively hiring

Still listed on the employer's own board · publishes a salary range · How we score

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  • Still listed on the employer's own board
  • Publishes a salary range

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Member of Technical Staff, Forward Deployed (US Gov), Hybrid- Full-time at Xperteez Technology. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Job Title

Forward Deployed Engineer, U.S. Government

Job Type

Full-time

Location

Hybrid - Washington, D.C.

Required Skills

  • Python
  • LLM Systems
  • Data Pipelines
  • Distributed Systems

The Role

We’re hiring an MTS to work on applied AI systems across research and production. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners to ensure mission success.

What You’ll Work On

  • Build and deploy agentic AI systems that support high-impact U.S. Government missions from prototype to production.
  • Design and integrate LLM applications, including multi-agent systems, tool-using agents, RAG workflows, and human-in-the-loop autonomy.
  • Work directly with government partners in forward-deployed environments to translate mission needs into technical systems.
  • Build and maintain large-scale data curation, and evaluation pipelines for model training and improvement.
  • Develop infrastructure for model inference, experimentation, evaluation, and deployment across frontier AI platforms.
  • Build AI systems that turn mission data, models, and tools into real operational autonomy.
  • Own systems across the full lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration.

What We're Looking For

  • Able to operate independently in ambiguous, partner-facing settings with technical and operational ownership.
  • Strong Python engineer with end-to-end ownership experience.
  • Experience with LLMs and creating agentic systems.
  • Built or maintained data pipelines / ML infrastructure.
  • Familiar with RL workflows or simulation environments.
  • Comfortable in high-security / high-reliability environments.

Preferred Qualifications

  • Active U.S. security clearance or eligibility and willingness to obtain one.
  • Experience supporting U.S. Government, defense, intelligence, or national security missions.
  • Prior experience at a startup, defense organization, Department of War, or government-focused technology company.
  • Background operating in fast-moving startup environments, mission-critical government settings, or both.

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