10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir
1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows
Proven success designing and maintaining distributed or high-throughput systems
Strong problem-solving ability and comfort navigating ambiguity in large-scale systems
Excellent communication skills and the ability to work effectively across teams
A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving
Ability to thrive in a fast-paced environment with shifting priorities
2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows
Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring
Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior
Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns
Hands-on experience with fine-tuning and data curation for improving model performance
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