AI Engineer at Leidos in Remote

Summary: Leidos is a company that contributes to AI solutions for critical national and global missions. They are seeking an AI Engineer to collaborate with multidisciplinary teams to develop and deploy AI agents, focusing on automating workflows and ensuring ethical AI practices. Responsibilities: - The AI Engineer will collaborate with Agentic AI Scientists to build and deploy AI agents to both 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 - The tasks of the AI Engineer will include creating software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems - They will utilize a combination of open-source models, agentic tools, and large proprietary commercial models - They will be developing novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact - They will be expected to ensure AI systems adhere to ethical guidelines, transparency, and fairness principles - They should expect they may conduct research, develop prototypes, evaluate and document results, potentially through publication and presentation at conferences and other public forums - They should also expect they may be part of a team developing solutions for deployment into operational environments, or for integration into mission systems - They should be a self-starter while also working well within the team, collaborating and sharing discoveries and seeking feedback Required Qualifications: - Self-starter with a high degree of intellectual curiosity - Proficiency in applying technical principles, theories, and concepts in the field - Experience developing Agentic AI solutions, including autonomous planning–execution–reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management - Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search - Ability to effectively guide junior engineers in applying standard practices and resolving problems of moderate complexity - Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen - Experience using vector databases (e.g., Pinecone, Weaviate, FAISS) - Proficiency in modern software languages—preferably, Python - Experience with the Software Development Lifecycle (SDLC), including DevSecOps practices - Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) - Ability to obtain a Secret clearance Preferred Qualifications: - Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems - Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments - Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems - Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI - Proficiency in scripting with Linux Bash, PowerShell, or equivalent automation tools - Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency Required Skills: Agentic AI solutions, Generative AI models, Large Language Models Important Skills: Python, Software Development Lifecycle, API integration, Vector databases Nice-to-Have Skills: Self-starter, Team collaboration, Problem-solving