AI Agent Engineer

Build guarded AI agents that gather evidence, reason over operational context, and support human decision makers. Impact Create AI workflows that are useful, traceable, and bounded. Connect agents to tools, data, evaluations, and human review loops. Improve how teams move from question to evidence to action. What you'll do Develop LLM-powered workflows, tool calls, retrieval, memory, and evaluation harnesses. Design guardrails for privacy, authorization, prompt injection, and high-stakes decisions. Integrate agents into production applications and operational workflows. Measure agent quality, reliability, and failure modes. What we're looking for 4+ years of software engineering experience. Experience building with LLM APIs, RAG, tools, agents, or workflow orchestration. Strong TypeScript or Python skills. U.S. Citizenship is required. Must be capable of obtaining and maintaining a Top Secret security clearance. Comfort working with ambiguous mission, data, and engineering problems. Strong written communication and ability to explain technical decisions to technical and non-technical teams. Preferred experience AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services. AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus. Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus. Hiring note Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan. #J-18808-Ljbffr Anautics