AI Agent Engineer

What you'll do

• Design agent architectures and ship production features from design through deployment.
• Improve agent reliability for messy data and build evaluation, observability, fallback, and guardrail systems.
• Integrate grounding and retrieval into agent workflows and measure gains in completion, accuracy, and time-to-value.

What they ask for

• 5+ years building AI/ML systems, including at least 1 year shipping agentic or LLM-powered systems in production.
• Direct experience at an AI startup or AI-focused product team; excludes consulting, integration, or agency work.
• Hands-on experience with agent frameworks and production RAG pipelines.
• Strong software engineering fundamentals and a track record of frequent releases and iteration based on user feedback.

Nice to have

• Experience with enterprise data systems or evaluation and observability pipelines for agentic systems.
• Familiarity with JVM-based systems, open-source agent tooling, or function calling and context window management.

Pay

$180,000 — $225,000 USD (salary range; may include variable compensation)

Tools

LangChain, LangGraph, CrewAI, Semantic Kernel

AI focus

Production agent engineering, including orchestration, planning, memory, multi-step reasoning, error recovery, RAG, grounding, evaluation, and reliability.