Job Description
<h3>📋 Description</h3> • The Agentic AI Engineer will collaborate with Agentic AI Scientists to build and deploy AI agents to automate and optimize labor-intensive workflows, as well as empowering the human workforce to discover entirely new capabilities.
• As a member of the Leidos AI Accelerator, they will be tasked at different times with both R&D as well as customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract.
• They will utilize open source models, agentic tools, and large proprietary commercial models; developing novel approaches to securing agentic workflows and evaluating results for accuracy, performance, and impact.
• They should ensure AI systems adhere to ethical guidelines, transparency, and fairness; may conduct research, prototypes, publications, and presentations; may deploy into operational environments or mission systems. <h3>🎯 Requirements</h3> • T1: Bachelor's degree in Computer Science, Engineering or related field and relevant experience
• T2: Bachelor's degree in Computer Science, Engineering or related field and 2+ years of relevant experience, or a Masters degree with relevant experience
• Practical understanding of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen
• Ability to design and implement tool-using AI agents, including API integration, retrieval-augmented generation (RAG), and memory/context management
• Experience employing vector databases (Pinecone, Weaviate, FAISS)
• Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes)
• Self-starter with a high degree of intellectual curiosity
• Proficiency in modern software language such as Python
• Ability to obtain a Secret clearance <h3>🏖️ Benefits</h3> • Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave and Retirement