Agentic AI Software Engineer

Description

Job Title: Agentic AI Software Engineer

Position Type: Full-Time W2, Direct Hire

Pay: $86,800.00 to $198,000.00

Location : On-Site, Must be in one of the following locations: Washington D.C., St. Louis, MO, Denver, CO, or Colorado Springs, CO.

Years of Experience Required: 5

Overview

As an experienced engineer, you know that artificial intelligence (AI), particularly Agentic AI and Generative AI, is transforming the world, including every aspect of the way businesses are run. We need your technical knowledge and problem-solving abilities to identify and develop opportunities for the use of AI agents to solve real-world business and operational problems that will help the company and its clients execute missions of national importance.

In this role, you will design and build new agentic AI products and offerings, integrating them into specific client missions, both within the enterprise business context and in operational use cases. You will collaborate with a community of research and experimentation leaders, software and IT operations engineers, AI and ML experts, data scientists, solution architects, systems engineers, and product owners to deliver world-class solutions that can scale to production. Your advanced solutioning skills and extensive technical expertise will help drive innovation that is applicable across multiple client domains.

Key Responsibilities

• Design and build agentic AI products and offerings; integrate them into enterprise and operational client missions.
• Collaborate with research leads, software/IT ops, AI/ML experts, data scientists, solution architects, systems engineers, and product owners to deliver scalable, production-ready solutions.
• Integrate LLMs and multi-modal models with applications and user interfaces; develop RAG systems with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
• Develop, deploy, and maintain AI agents using agentic frameworks such as LangGraph, LlamaIndex, or CrewAI.
• Optimize LLM performance through strategic prompt design and engineering.
• Distill complex technical concepts into clear summaries for non-technical business leaders and stakeholders.
• Drive experimentation, evaluate emerging approaches/architectures, and contribute reusable patterns across client domains.

Required Skills & Qualifications

• 5+ years of experience in software engineering, including working on or leading teams to build customer-facing solutions and products
• Experience in a collaborative, cross-functional team environment, consisting of security engineers, data scientists, machine learning engineers, and designers
• Experience integrating LLMs or multi-modal models with applications or user interfaces
• Experience building RAG systems with vector databases such as Pinecone, Weaviate, or ChromaDB, and embedding models
• Experience with the development, deployment, or maintenance of AI agents or agentic solutions, including use of agentic frameworks such as LangGraph, LlamaIndex, or CrewAI
• Ability to optimize LLM performance through strategic prompt design and engineering
• Ability to distill complex technical concepts into easily understood summaries consumable by business leaders with a non-technical background
• Ability to be curious, motivated, and passionate for experimentation and continuous learning at the forefront of emerging technologies, approaches, and architectures
• Ability to obtain a Secret clearance
• HS diploma or GED

Preferred Qualifications

• 2+ years of experience working with modern AI capabilities in machine learning, including deep learning, and LLM frameworks
• Experience with AI-assisted development such as Cursor, Windsurf, or Claude Code
• Experience with Google agent-to-agent communication (A2A) and Model Context Protocol (MCP)
• Experience with infrastructure-as-code or standup of cloud-based infrastructure and platform services, including AWS, Azure, or Google Cloud Platform
• Experience working with federal clients
• Possession of strong communication skills
• Secret clearance