Agentic AI Engineer: LLM Systems for Mission-Critical Ops

NLP PEOPLE; Washington (District of Columbia); On-site; USD 150,000 - 230,000; Full time

Job summary

TekPillar® seeks a strong AI Engineer to build and deploy applied AI systems from research through production for government missions. You will work on LLM/agentic AI development, data pipelines, ML infra, and deployment in high-assurance environments, collaborating with U.S. Government partners.

The role emphasizes end-to-end ownership, secure and reliable systems, and translating mission needs into robust AI solutions.

Qualifications

• Strong Python engineering with end-to-end ownership.
• Hands-on experience with LLMs and agentic AI systems.
• Experience building data pipelines and ML infrastructure.
• Experience with distributed systems and production-scale infra.
• Familiarity with RL workflows or simulation environments.

Responsibilities

• Build and deploy agentic AI systems supporting Government missions.
• Design LLM applications including multi-agent systems, tool-using agents, RAG, and human-in-the-loop workflows.
• Collaborate with government partners to translate mission requirements into technical solutions.
• Build and maintain data curation, evaluation, and ML pipelines.
• Develop infrastructure for model inference, experimentation, evaluation, and deployment.
• Create AI systems that combine mission data, models, and tools to enable operational autonomy.
• Own systems end-to-end across architecture, development, deployment, reliability, security, and continuous improvement.

Skills

Python engineering

LLM Systems

Agentic AI

Data Pipelines

Distributed Systems

RL workflows

Independent work

High-security environments

Job description

TekPillar® seeks a strong AI Engineer to build and deploy applied AI systems from research through production for government missions. You will work on LLM/agentic AI development, data pipelines, ML infra, and deployment in high-assurance environments, collaborating with U.S. Government partners.

The role emphasizes end-to-end ownership, secure and reliable systems, and translating mission needs into robust AI solutions.