Software Engineer - Agent Delivery
About The Position
We're hiring one of our first Agent Delivery Engineers—a hybrid technical and customer-facing role responsible for implementing Pallet's AI Agent platform inside the world's largest logistics companies. You'll report directly to Michael, our Agent Delivery Lead, and work cross-functionally with Deployments (Jeff), Engineering (Nilkanth), and Sales (Andrew) leadership to bring AI Agents into production environments. You'll own deployment from post-sale technical validation through production rollout: mapping workflows, integrating systems, resolving edge cases, testing AI behaviors, and partnering closely with Engineering to ensure customers realize measurable ROI. This is a foundational role. You'll shape how Pallet delivers value after the deal is signed—and this team is the engine that turns sales wins into production AI automation and live revenue.
Requirements
- 2+ years as a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, or Technical Consultant—ideally in high-growth SaaS or AI
- Strong technical fluency with APIs, authentication, JSON schemas, logs, and integration patterns
- Experience with automation or AI systems (browser automation, RPA, RAG/memory, LLM agents, voice interfaces, etc.)
- Comfort building prototypes using Retool, Zapier, Make, Postman, or lightweight scripting
- Excellent communication across technical and operational audiences—from dispatch teams to CTOs
- Thrives in fast-moving, ambiguous environments with incomplete information
Responsibilities
- Lead technical implementations for enterprise, Fortune 500 customers—from workflow mapping to AI Agent configuration to production launch
- Design and run proofs of concept that demonstrate measurable improvements (accuracy, throughput, cycle time, error reduction)
- Build lightweight automations and prototypes using tools like Retool, Zapier, Make, or scripts to validate value quickly
- Integrate with customer systems (TMS, WMS, ERP, CRM, billing/settlements) using APIs, webhooks, and data schemas
- Debug and troubleshoot production issues, partnering with our research team to address model behavior and system integration challenges
- Act as the technical voice of the customer—relaying workflow pain points, edge cases, and feature gaps to the broader engineering team.
- Be comfortable leaning in to build product features when they are necessary to get a customer live.
Benefits
- 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
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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
