AI Agents Engineer

Requirements:

• 3+ years of software engineering experience with at least 1 year building production LLM-powered systems or agents used by real users.
• Strong Python engineering skills; ability to write maintainable, tested, production-quality services.
• Hands-on experience with LLM APIs, preferably Anthropic Claude, including tool use/function calling, structured outputs, streaming, prompt caching, and multi-turn context handling.
• Experience with at least one agent/orchestration framework such as LangChain, LlamaIndex, DSPy, CrewAI, or strong custom orchestration experience.
• Strong REST API and webhook integration experience across tools such as GitHub, Slack, Jira/Linear, Notion, PagerDuty, or similar.
• Good understanding of LLM evaluation: defining success metrics, measuring false positives/negatives, creating feedback loops, and iterating from telemetry.
• Comfortable with Docker, CI/CD, observability, logging, alerts, and operating services in production.
• Strong SQL and BigQuery ability for querying logs, deploy events, incident timelines, accuracy signals, and time-series reliability data.
• Clear written communication; can write design docs that define scope, non-goals, evaluation methodology, owners, and risks.