You could be an engineer anywhere, why us?
About the opportunity:
Given recent economic shifts, logistics providers and shippers want to capitalize on generative AI to drive business efficiency. As a result, many of them are turning to CoPallet, the first end-to-end service of AI agents and logistics experts, to automate their back-office operations. If we can capture this momentum effectively, we're on track to build the next $10 billion tech company in logistics.
About the Role
You'll lead the architecture and development of our Retrieval-Augmented Generation (RAG) platform, powering AI agents that learn and operate in challenging real-world logistics environments. This isn't about being a RAG expert day one, but owning backend architecture and navigating tradeoffs in LLM workflows.
You'll build tooling for transparency and debugging of AI tool calls, develop discovery mechanisms for agents to find and use tools effectively, and create memory systems that retain context across weeks. You'll also shape Pallet's technical roadmap.
What You'll Do
Design and maintain core infrastructure for AI agents on our RAG platform
Build scalable, efficient data pipelines supporting millions of events
Create debugging and inspection tooling for LLM-based workflows
Develop memory systems that surface relevant context dynamically
Collaborate across product and engineering teams on architecture and design decisions
Backend: Node.js + TypeScript, Encore framework
Frontend: React + TypeScript
Preferred Experience
Backend-focused engineer experienced in building LLM-powered features
Skilled in building APIs, data pipelines, and scalable infrastructure
Comfortable working with complex enterprise data and large user bases
Experienced with GCP and PostgreSQL
Bonus: Familiarity with RAG pipelines
Who you are:
You own the outcome: taking full responsibility to deliver impact end to end, no excuses.
You move fast but with quality: shipping quickly while maintaining sustainable craftsmanship.
You experiment relentlessly: embrace a growth mindset, learn from failures, and iterate faster.
You push beyond limits: no coasting; you raise the bar for yourself and the team.
You thrive in collaboration: value face-to-face teamwork and contribute actively in our in-office culture.
Interview Process
Location:
Since we're a small team building 0-1 products, we prefer for candidates to be comfortable working in an in office environment in San Francisco. We typically come into the office 4 days a week. Relocation assistance can be provided for interested candidates.
Compensation:
The estimated salary range for this role is $195,000 – $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.
???? Health, Vision, and Dental benefits
Life Insurance and Accidental Insurance
Generous salary and equity for all staff
???? 401k option; helping you save for the future
Yearly learning and development stipend
Commuter benefits for Bay Area employees
Uber ride stipend if you ever have to work late in the office
Remote office home stipend to get you comfy in your space
Daily catered lunches provided by Sharebite (every meal you order, one meal gets donated)
️ Onboarding trip to San Francisco HQ if you work remotely
Annual Company Offsites; our last one was in Napa Wine Country
Pallet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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