Member of Technical Staff, Forward Deployed

Appsierra Group; Washington (District of Columbia); Hybrid; USD 200,000 - 350,000; Full time

Benefits offered by this job

Equity compensation

Bonuses available

Comprehensive benefits

Health insurance reimb.

Paid time off

401(k) with match

Remote-first workforce

Job summary

Appsierra Group seeks a Member of Technical Staff to advance forward-deployed AI systems for U.S. Government missions. The hybrid Washington, DC role focuses on building production-ready agentic AI, large language models, and robust data pipelines across high-security environments.

You will own end-to-end systems from experimentation to deployment, collaborating with strategic partners and maintaining reliability and security while delivering mission-worthy AI capabilities.

Qualifications

• Strong Python engineering skills and end-to-end ownership of systems.
• Experience building or maintaining data pipelines and ML infrastructure.
• Familiarity with LLMs and building agentic systems.
• Ability to work in high-security, high-reliability environments.

Responsibilities

• Build and deploy agentic AI systems for government missions.
• Design and integrate LLM applications including multi-agent systems, tool-using agents, and RAG workflows.
• Work with government partners to translate mission needs into technical solutions.
• Develop infrastructure for model inference, experimentation, evaluation and deployment.
• Own systems across the full lifecycle from discovery to iteration.

Skills

Python engineering

Agentic systems

Data pipelines

ML infrastructure

Security & reliability

LLMs

Job description

Member of Technical Staff, Forward Deployed (U.S. Government)

Job Type: Full-time
Location: Hybrid — Washington, D.C.
Compensation: $200,000–$350,000/year
Openings: 1

About the Opportunity

We are hiring a Member of Technical Staff (MTS) / Forward Deployed Engineer to work on applied AI systems across research and production.

This role spans model experimentation, AI infrastructure, deployment, and operational systems in high‑assurance, mission‑critical environments. You will also work directly with strategic partners in forward‑deployed settings, translating mission requirements into reliable technical systems and helping ensure mission success.

What You’ll Work On

• Build and deploy agentic AI systems supporting high‑impact U.S. Government missions, taking systems from prototype through production.

• Design and integrate LLM applications, including:

  • Multi‑agent systems

  • Tool‑using agents

  • RAG workflows

  • Human‑in‑the‑loop autonomy

• Work directly with government partners in forward‑deployed environments to understand mission needs and translate them into technical solutions.

• Build and maintain large‑scale data curation and evaluation pipelines for model training and improvement.

• Develop infrastructure supporting model inference, experimentation, evaluation, and deployment across frontier AI platforms.

• Build AI systems that combine mission data, models, and tools to enable real operational autonomy.

• Own systems across the complete lifecycle, including discovery, architecture, implementation, deployment, reliability, security, and iteration.

Requirements

• Ability to work independently in ambiguous, partner‑facing environments while taking technical and operational ownership.

• Strong Python engineering skills with experience owning systems end‑to‑end.

• Experience working with LLMs and building agentic systems.

• Experience building or maintaining data pipelines and ML infrastructure.

• Familiarity with reinforcement learning (RL) workflows or simulation environments.

• Comfortable operating in high‑security and high‑reliability environments.

Preferred Qualifications

• 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.

• Experience operating in fast‑moving startup environments, mission‑critical government settings, or both.

Benefits

• Equity compensation eligibility.

• Performance‑based bonuses may be available, subject to applicable policies.

• Comprehensive benefits package.

• Up to 100% reimbursement for health‑insurance premiums.

• Paid time off.

• 401(k) plan with company match.

• Additional benefits designed to support a high‑performing, remote‑first workforce.

Additional Information

• Full‑time employment.

• Hybrid position based in Washington, D.C.

• The hiring process utilizes AI tools to assist with candidate screening and assessment. These tools are designed to complement, rather than replace, human decision‑making.

• Employment decisions are made in accordance with applicable laws and regulations.