Commodity AI Senior AI Engineer at Commodity AI builds agent harnesses that enable models to autonomously complete real tasks. The role involves prototyping features, debugging systems, and improving model performance in commodity trading workflows.
Responsibilities
We are looking for a senior engineer who can turn the capabilities of modern models into agents that do useful work with increasing autonomy. You will build the harnesses around those models: the tools, context, execution loops, state and feedback that let an agent carry a task through to completion.
The goal is to help CommodityAI scale what our product and team can accomplish. You will prototype new capabilities quickly, put them in front of users, and use evals and production traces to decide what is ready to run autonomously and what needs more work. This is a hands-on engineering role with ownership from the first experiment through reliable production behavior.
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.
What we are looking for
Strong software engineering skills and experience building working agent systems that take actions and complete tasks.
Qualification
Strong software engineering skills
Required
Strong software engineering skills
Experience building working agent systems
Practical understanding of harness design, context management, and tool interfaces
Experience creating evals and improving unreliable behavior