Forward-Deployed AI Engineer: Production Integrations

Pallet

Oregon, New York (WI, NY)

On-site

USD 160,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
PTO (paid time off)
Life and/or disability insurance
Disability coverage
Equity/stock options
401k option
Parental leave
Learning stipend

Job summary

Pallet is hiring Forward Deployed Product Engineers to deploy production AI agents inside large logistics companies. You’ll design integrations, debug production systems, and ship AI-powered workflows in real environments.

You’ll work closely with customers, operators, engineers, and executives to turn real-world needs into repeatable product capabilities. You’ll own deployments end-to-end from discovery to production, travel up to ~25% and collaborate across engineering and product teams to

Qualifications

  • 2–5 years of experience building and owning production systems in high-growth startups or similar environments.
  • Strong experience with APIs, integrations, authentication, and event-driven architectures.
  • Excellent communication and ability to work with customers.

Responsibilities

  • Reverse engineer customer workflows and undocumented integrations.
  • Design and build integrations between customer systems and Pallet’s platform.
  • Debug production failures across distributed systems and data pipelines.
  • Work onsite with customers to diagnose issues, ship fixes, and drive launches.
  • Own deployments end-to-end from discovery through production stability.
  • Identify recurring patterns and turn them into reusable capabilities.
  • Partner with engineering and product to shape the roadmap based on customer needs.

Skills

Production systems
APIs & integrations
Event-driven architectures
Debugging production issues
Customer-facing communication

Tools

Node.js
TypeScript
Encore.dev
GCP
PostgreSQL
Playwright

Job description

Pallet is hiring Forward Deployed Product Engineers to deploy production AI agents inside large logistics companies. You’ll design integrations, debug production systems, and ship AI-powered workflows in real environments.

You’ll work closely with customers, operators, engineers, and executives to turn real-world needs into repeatable product capabilities. You’ll own deployments end-to-end from discovery to production, travel up to ~25% and collaborate across engineering and product teams to

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