Software Development II

AI Engineer - REMOTE (Quarterly Travel to DC)Location: Washington, DC (Remote with periodic travel) | Clearance: Public Trust (US Citizenship Required)About the RoleJoin a forward-thinking team as an AI Engineer, leading the development of cutting-edge generative AI and agentic systems. This is a remote-first opportunity with quarterly travel to Washington, DC, where you'll tackle challenging projects at the intersection of machine learning, large language models (LLMs), and cloud-based solutions. Grow your expertise by working hands-on with advanced AI technologies, collaborating with cross-functional teams, and driving meaningful innovation in a supportive, agile environment.ResponsibilitiesDevelop, deploy, and optimize agentic AI systems for autonomous decision-making, tool use, and multi-step task executionDeliver end-to-end AI/ML and GenAI projects from business requirements to deployment and monitoringImplement LLM-based features such as retrieval-augmented generation (RAG), text summarization, and embedding pipelinesDesign effective prompts using prompt engineering for LLMs to achieve robust, accurate outputsWork with leading LLMs (Claude, GPT, Gemini, Llama, etc.) via APIs and cloud platformsEvaluate GenAI features using grounding checks, LLM-as-judge scoring, and real-time monitoringBuild and maintain ML models using Python, focusing on NLP, classification, clustering, and anomaly detectionCollaborate with business and technical stakeholders to guide data-driven decisionsEnsure quality and reliability of deployed AI solutions in distributed and cloud environmentsRequired Skills and ExperienceBachelor's or Master's degree in Computer Science, Data Science, Engineering, or Mathematics2+ years' experience in AI/ML engineering, with hands-on LLM application workProven experience building agentic AI systems (tool/function calling, planning, multi-step execution)Proficiency in Python, iPython notebooks, and SQLSolid understanding of prompt engineering, RAG, embeddings, and structured LLM outputsExperience with ML/NLP tasks: classification, clustering, anomaly detection, text summarization, entity extractionDemonstrated ability to design, evaluate, and deploy AI/ML systemsStrong communication skills for technical and business audiencesUS Citizenship required (for Public Trust clearance)Preferred SkillsAdvanced prompt engineering: few-shot, zero-shot, chain-of-thought techniquesCloud AI/ML platforms: AWS Bedrock, SageMaker, Azure OpenAI, AI FoundryDeep learning frameworks: PyTorch, KerasMLOps practices for operationalizing and monitoring modelsExperience with vector databases, Elasticsearch, SolrGit, Azure DevOps, Linux, and cloud CLI toolsData visualization: Tableau, Power BIDistributed NoSQL databases: MongoDB, DynamoDBFull stack system development for distributed computingBenefits100% remote work with quarterly team meetups in Washington, DCOpportunity to work on high-impact, innovative AI projectsProfessional growth through exposure to the latest in GenAI and LLM technologiesCollaborative, agile team environment with supportive leadershipPotential for contract-to-hire (conversion to full-time Leidos employee)How to ApplyIf you're ready to shape the future of AI and expand your expertise alongside passionate technologists, submit your application through our careers portal today. Qualified candidates will be contacted for next steps.