AI Engineer

Own the AI Stack – Lead the architecture, development, and continual refinement of Freight Hero’s AI capabilities, including data pipelines, model training, and real-time inference systems. Define the Strategic Vision – Establish the long-term roadmap for how AI can augment or automate broker workflows, from task automation to predictive analytics and agentic systems. Build and deploy AI-powered systems and tools —from internal operator assistants (e.g. summarization, internal copilots) to task-oriented agents (e.g. workflow routing, escalation flows) and real-time voice interfaces for interacting with external stakeholders. Prototype, Validate, and Iterate – Rapidly develop MVPs, conduct real-world pilots, gather feedback, and fine-tune models and flows for reliability, and compliance with industry norms. Optimize for Human-in-the-Loop Performance – Design workflows that integrate seamlessly with Freight Hero’s augmented operations team, empowering human agents while offloading repetitive tasks. Integrate with the Freight Ecosystem – Ensure your AI systems communicate effectively with TMS platforms, VOIP systems, CRMs, and broker operations tools, creating a seamless data and workflow layer. Build for Scale and Resilience – Architect scalable, cloud-native infrastructure that can handle concurrent sessions and asynchronous callbacks in real time. Collaborate Cross-Functionally – Work alongside operations, product, and engineering to align AI capabilities with business goals, SLA requirements, and user experience priorities. Stay Ahead of the Curve – Constantly evaluate advancements in AI, machine learning tooling, and infrastructure to keep Freight Hero on the cutting edge.