Agentic AI Engineer

The Opportunity As an experienced engineer, you will design, develop, and deliver production‑grade agentic AI systems that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows. This role combines deep technical expertise with strong product skills to create AI applications leveraging prompting, retrieval‑augmented generation (RAG), agentic orchestration, evaluation pipelines, and human‑in‑the‑loop systems to deliver measurable impact. You will architect modular, reusable AI application patterns, integrate multiple model providers, and apply modern GenAI stack capabilities, including structured prompting, tool use, workflow orchestration, and multi‑modal reasoning. The solutions will be deployable across various contexts—from cloud-hosted platforms to portable, self-contained builds—optimizing for latency, cost efficiency, observability, and safety. Rapid prototyping and iterative experimentation will validate hypotheses through evaluation‑driven development. In this role, you’ll define the direction of mission‑critical agentic systems by selecting and combining prompting strategies, RAG architectures, agentic workflows, and fine‑tuned or foundation models appropriate to the mission. You’ll collaborate with a community of AI and ML engineers, data engineers, data scientists, solutions architects, and product owners to deliver world‑class solutions. You Have 2+ years of experience designing, developing, or deploying AI‑driven systems, including autonomous agents, LLM‑based systems, or automated decision pipelines 2+ years of experience with an object‑oriented programming language such as Python, and applying it to AI/ML solution development Experience with agent orchestration frameworks such as LangChain, AutoGen, CrewAI, or custom agent frameworks Experience integrating LLMs, GPT‑class models, or multimodal models into applications, pipelines, or mission systems Experience with RAG architectures, evaluation methodologies, experimentation workflows, and asynchronous or event‑driven programming patterns Experience working in cross‑functional delivery environments with data scientists, ML engineers, SREs, product managers, and security teams, and creating reference architectures and technical roadmaps Secret clearance Bachelor’s degree Nice If You Have Experience with agent frameworks, interoperability standards, and multi‑agent patterns such as MCP, A2A, LangGraph, or equivalent Experience with model fine‑tuning, prompt tuning, domain adaptation, or reinforcement learning from human or AI feedback Experience designing evaluation suites or safety testing frameworks for AI systems, and integrating AI systems with external tools, APIs, or enterprise systems via tool‑calling or computer‑use patterns Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation Our compensation includes health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). This posting will close within 90 days from the posting date. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr