Leidos’ National Security Sector is seeking an AI/ML Engineer to develop and secure AI agents using generative AI and LLM-based tools to enhance human workflows for national security applications.
Requirements
- Practical experience with Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, PydanticAI, CoPilotKit, A2A, MCP.
- Integrate agentic AI systems through tools such as retrieval-augmented generation (RAG), memory/context management, and vector databases (e.g., Pinecone, Weaviate, FAISS).
- Experience working with end users to streamline workflows and produce applied solutions.
- Ability to design and implement tool-using AI agents, including API integration, retrieval-augmented generation (RAG), and memory/context management.
- Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments.
- Deep familiarity with generative AI techniques like prompt engineering, chain‑of‑thought, and NLP tasks (entity extraction, summarization, semantic search).
- Experience integrating AI services (e.g., NIMS, Azure OpenAI, Bedrock, GCP Vertex AI).
Responsibilities
- Write software code to support AI agent communication, connecting models and agents to external services via API calls, support testing and debugging tasks, deployment into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.
- Utilize a combination of open source models, agentic tools, and large proprietary commercial models to develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
- Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
- Conduct research, develop prototypes, evaluate and document results, potentially through publication and presentation at conferences and other public forums.
- Be part of a team developing solutions for deployment into operational environments, or for integration into mission systems.
Other
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, Mathematics, or a related field and 4+ years of hands-on experience in machine learning and/or AI systems development.
- US citizenship is required and able to obtain and maintain security clearance (Secret level or above).
- Active Secret or Top Secret clearance (or eligibility to obtain one).
- Strong communication skills with the ability to present complex AI outputs in an accessible manner to non-technical stakeholders.
- Scripting proficiency (e.g., Linux Bash, PowerShell).
