AI Agent Engineer

Build guarded AI agents that gather evidence, reason over operational context, and support human decision makers.

• 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.

• 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.

• 4+ years of software engineering experience.
• Experience building with LLM APIs, RAG, tools, agents, or workflow orchestration.
• Strong Type Script 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.

• AWS experience is a plus, especially secure cloud, Gov Cloud, 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.

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.