Software Engineer - Agent Delivery

PalletSan Francisco, CA
1dOnsite

About The Position

We’re hiring one of our first Agent Delivery Engineers—a role focused on building, deploying, and operating production AI agent systems inside some of the world’s largest logistics companies. You’ll work directly with Michael (Agent Delivery Lead) and partner closely with core Engineering, Deployments, and Sales leadership to take AI agents from post-sale technical scoping through hardened production launch. This role owns the engineering work required to make agents real in customer environments: designing system integrations, implementing agent behavior, resolving complex edge cases, validating performance, and iterating alongside core Engineering to ensure reliability at scale. This is a foundational role at Pallet. The Agent Delivery team sits at the intersection of product, platform, and real-world operations—and is responsible for turning sales wins into live, revenue-generating AI systems. The systems you build will directly shape Pallet’s agent architecture, deployment patterns, and long-term product direction.

Requirements

  • 2+ years experience building and operating end-to-end production systems, ideally in high-growth SaaS or AI-driven environments
  • Strong technical fundamentals across APIs, authentication, data modeling, system integration patterns, and debugging complex systems
  • A builder’s mindset with high ownership—you’re comfortable scoping ambiguous problems, moving quickly, and shipping durable solutions
  • Experience working directly with customers or external stakeholders, translating real-world constraints into reliable technical systems
  • Clear and effective communication skills across both technical and operational audiences—from frontline operators to engineering leadership
  • Thrives in fast-moving, ambiguous environments, where requirements are incomplete and problems are discovered through execution

Responsibilities

  • Engineer and ship production-grade AI agent systems for some of the largest logistics companies in the world—owning the full lifecycle from technical scoping and system design through production deployment and iteration.
  • Translate complex, messy logistics workflows into robust agent architectures, designing and building AI agents that outperform manual, human-driven workflows in how they reason, act, integrate with customer systems, and operate reliably at scale.
  • Design and evolve shared systems that power agent behavior, orchestration, validation, and deployment across customer environments.
  • Design and implement deep integrations with customer infrastructure (TMS, WMS, ERP, CRM, billing and settlement systems) using APIs, webhooks, event-driven systems, and data schemas.
  • Own production reliability and debugging, investigating failures across AI behavior, system integrations, and data pipelines, and working closely with research and platform engineers to resolve root causes.
  • Shape the product itself by contributing directly to core features, tooling, and platform improvements when customer deployments surface gaps or new requirements.
  • Work directly with customer technical and operational leaders, deeply understanding their constraints and using that insight to drive both implementation decisions and the evolution of Pallet’s agent platform.

Benefits

  • Compensation: Salary and equity at 90th percentile, plus bonuses tied to customer go-lives. We promote from within—several teammates earned promotions in under a year
  • Impact from Day One: Your first week might involve wiring a new integration into production or debugging a workflow that saves a customer hours. This isn't demo work—it's real implementations
  • Ownership & Autonomy: Propose ideas, whiteboard them, ship without layers of approvals. One standup at 10am PST—primary focus is building, not meetings
  • Close-Knit Pods: We sit side by side, so questions get answered in minutes. Small PRs, fast iteration, observability-first
  • Culture: Catered lunch daily at 12pm. Thursday boba runs. AI tools encouraged (Claude, Cursor)—but you must understand the architecture

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

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