Agentic AI Engineer: Multi-Agent Systems for Gov Procurement

Rohirrim, Inc.; McLean (VA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Rohirrim, Inc. is seeking an Agentic AI Engineer to join their core engineering team in McLean, VA. This role involves designing, developing, and deploying advanced AI agents for government acquisitions. You'll work closely with ML researchers and full-stack engineers to ensure innovation in high-stakes environments.

Applicants should have over 8 years of software engineering experience, strong proficiency in Python, and familiarity with LLM orchestration frameworks. The role is hybrid, requiring 3 days a week in the office.

Qualifications

• 8+ years of software engineering experience; minimum of 1 year focusing on LLM applications.
• Strong proficiency in Python and experience in building production-grade AI/ML pipelines.
• Hands-on experience with LLM orchestration frameworks like LangChain and LangGraph.
• Deep understanding of RAG architectures and working with vector databases.

Responsibilities

• Architect and build multi-agent systems for document analysis and procurement automation.
• Integrate appropriate LLMs for specific tasks balancing capabilities and security.
• Collaborate with platform engineers to deploy agents with observability and logging.
• Implement best practices for prompt engineering and evaluation frameworks.

Skills

Software engineering

Python proficiency

LLM orchestration frameworks

RAG architectures

API integration

Tools

LangGraph

AutoGen

Vector databases

Docker

Kubernetes

Job description

Rohirrim, Inc. is seeking an Agentic AI Engineer to join their core engineering team in McLean, VA. This role involves designing, developing, and deploying advanced AI agents for government acquisitions. You'll work closely with ML researchers and full-stack engineers to ensure innovation in high-stakes environments.

Applicants should have over 8 years of software engineering experience, strong proficiency in Python, and familiarity with LLM orchestration frameworks. The role is hybrid, requiring 3 days a week in the office.