Software Engineer for AI Systems

Job Summary

Focusing on building agentic systems, the full-time Software Engineer for AI Systems will design and develop runtime environments and production agents, ensuring reliable and measurable system behavior, while working remotely.

Key responsibilities

• Design and build the runtime for agents, including planning, execution loops, and failure recovery
• Transform domain workflows into functional agents, integrating human-in-the-loop processes for decision-making
• Implement evaluation metrics for agent quality and reliability, ensuring observability and security across operations

Required qualifications

• 6+ years of software engineering experience with production systems
• Experience building production LLM systems and multi-step agentic workflows
• Strong understanding of LLM behavior, limitations, and debugging non-deterministic systems
• Proficiency in TypeScript and/or Python with solid backend and cloud experience (AWS or equivalent)
• Experience with LLM APIs and designing planning and execution loops