Teams at TradeLink

Build and deploy AI agents that automate complex logistics workflows. Discover customer processes, rapidly prototype solutions, create integrations and data transformations, and harden prototypes for production. Work directly with operations teams, connect email, documents, and legacy systems, determine where AI or deterministic software is appropriate, and maintain human oversight. Translate reusable customer insights into TradeLink product capabilities while owning outcomes from ambiguous problem discovery through rollout and measurement.

Build and own the engineering systems that enable safe, efficient coding-agent development. Responsibilities include creating agent harnesses, improving repository usability, automating testing and verification, supporting CI and disposable environments, designing human approval gates, optimizing merge-request handoffs, tracking engineering productivity metrics, and scaling effective AI workflows across the organization. The role requires strong production software engineering judgment, deep coding-agent experience, and the ability to review architecture and code critically.

Build and own the production AI agent platform powering TradeLink’s logistics products. Develop runtime capabilities for agent context, tools, state, memory, retries, permissions, approvals, audit trails, evaluations, observability, and integrations. Establish safe boundaries between deterministic logic and model-driven decisions, convert customer workflows into reusable platform features, and write substantial production code while improving reliability and debugging agent behavior.