Senior AI Engineer

CommodityAI builds software and AI automation for physical commodity trading. The Senior AI Engineer will build agent harnesses and model-powered capabilities, taking them from prototypes through reliable production deployment. The role focuses on expanding agent autonomy through evaluation, debugging, and reusable tools.

Responsibilities:

• Build agent harnesses that give models the tools, context and execution environment to complete real tasks across our product and connected systems
• Design how agents plan, take actions, maintain state, recover from failures and hand work back to a person when needed
• Prototype new features with models and agents, test them against real customer problems, and turn promising experiments into shipped capabilities
• Build evals around task completion and the quality of decisions and actions. Turn production failures into reproducible cases that improve the next iteration
• Inspect traces and debug the whole system: prompts, context, tool interfaces, orchestration and model behavior
• Increase useful autonomy over time, with clear permissions, checkpoints and human intervention where the workflow requires them
• Experiment with new models and approaches, measuring whether they improve capability, reliability, latency and cost in our actual workflows
• Create reusable tools and harness components so each new feature is easier to build and operate, and the team can support more customers without repeating manual work