Software Engineer, Agent Delivery

Pallet•San Francisco, CA

5d•Onsite

About The Position

Pallet is seeking a Software Engineer, Agent Delivery to deploy production AI agents within large supply chain companies. This role involves working directly with customers to understand critical workflows, designing integrations, debugging production systems, and implementing AI-powered workflows in complex environments. The position is a blend of engineering, product, and customer operations, requiring ownership of deployments from discovery to launch. Success is measured by the ability to get systems live, ensure reliability, and solve problems in challenging environments. Insights gained from deployments will inform product features and platform capabilities. The role offers the opportunity to shape the future of supply chain technology alongside experienced professionals.

Requirements

1-3 years of experience building and owning production systems in high-growth startups or similarly demanding environments.
Strong experience working with APIs, integrations, authentication systems, and event-driven architectures.
Proven ability to debug complex systems in production.
Comfortable operating in ambiguous environments where documentation is incomplete, and requirements evolve quickly.
Strong communication skills and the ability to build trust with technical and non-technical stakeholders.

Nice To Haves

Experience working directly with customers is a strong plus.

Responsibilities

Lead high-impact customer deployments from problem definition through production.
Design and build production-grade AI agents, workflows, integrations, and supporting infrastructure.
Partner with customers to identify workflows where AI agents can fundamentally change how work gets done.
Own the technical delivery from end-to-end design and prototyping through implementation, evaluation, deployment, and iteration.
Embed deeply in customer workflows, understand how their teams and systems operate, and translate business requirements into technical solutions.
Make architecture and design decisions across agent behavior, application logic, data, integrations, evaluations, security, and reliability.
Connect Pallet agents to the systems, data, APIs, and tools customers already rely on.
Debug failures, improve agent quality, evaluate performance, and work across Pallet Engineering and Product to resolve issues.
Build relationships across the customer organization to understand their workflows, constraints, and goals.
Turn lessons from individual deployments into reusable agents, integrations, evaluations, frameworks, and implementation patterns.
Serve as a feedback loop between customers and Pallet’s Product and Engineering teams, identifying needs and opportunities.