AI Agents Engineer

Pallet•San Francisco, CA

7d•Hybrid

About The Position

Pallet is redefining the logistics industry with AI-driven automation. Based in San Francisco and backed by $21 million in funding from Bain Capital Ventures, Bessemer, and other top investors, we are building cutting-edge AI-powered solutions that eliminate manual data entry, optimize warehouse operations, and streamline logistics management. Our flagship products—a Transportation Management System (TMS) and a Warehouse Management System (WMS)—provide businesses with end-to-end visibility, automation, and operational control. Our AI Agents take automation to the next level, seamlessly integrating into logistics workflows to reduce costs, improve efficiency, and enhance customer satisfaction. Join us in transforming logistics and shaping the future of AI-powered business operations. As an AI Agents Software Engineer at Pallet, you will be at the forefront of developing intelligent, adaptable automation solutions for the logistics industry. Our AI-driven agentic workflows are designed to augment human capabilities, handling complex back-office tasks with high accuracy while integrating seamlessly into existing enterprise systems. You will be working with a small, high-impact team of engineers and operators to build AI agents that automate workflows such as document processing, customer portal updates, and voice-based interactions. This is an opportunity to make a direct impact on a rapidly growing product with significant industry traction.

Requirements

3+ years of Software Engineering experience, ideally with exposure to both startup and enterprise-scale engineering environments.
A track record of delivering impactful business outcomes through innovative product development or high-impact technical initiatives.
Experience leading engineering teams, mentoring junior engineers, and fostering a culture of collaboration and innovation.
Proficiency in Node.js, TypeScript, GraphQL, PostgreSQL, and related technologies.
A problem-solving mindset and a passion for building intelligent, scalable automation solutions.

Nice To Haves

Experience with AI/ML technologies, RPA, or NLP-driven automation.

Responsibilities

Build intelligent agents that can navigate web portals, process documents, and handle voice-based interactions with human-like accuracy.
Enable AI agents to learn from human supervision and dynamically adjust to changing workflows, applications, and data structures.
Ensure our AI-driven automation systems can handle high-volume logistics processes across multiple industries with reliability and efficiency.
Design and implement APIs, database solutions, and front-end interfaces that connect our AI agents with enterprise software stacks.
Optimize AI models for speed, accuracy, and scalability, ensuring human-in-the-loop supervision enhances rather than bottlenecks efficiency.