AI Model Training Engineer

Role overview Build the backend runtime that enables AI agents to plan, use tools, maintain memory, and recover from failures. The role description emphasizes orchestration and measurable improvement of agent task success; it does not specify model-training methods or a particular training stack.

Responsibilities - Design and implement agent orchestration and tool-calling systems. - Support planning, memory, and recovery within the agent runtime. - Use measurable evaluations to improve task success rates. - Make agent behavior observable, interruptible, and safe. - Consider failure modes that arise when models use tools.

Requirements - Experience building LLM-powered applications or agents for production. - Strong backend engineering skills in TypeScript or Python. - Understanding of failure modes in tool-using models.