Nash
Logistics
FullStackEngineeringIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“Full Stack Engineering Intern at Nash. Skills: Full Stack Engineering, React, Python, TypeScript, LLM workflows. Ship features end to end across Nash's agentic layer, from the React and TypeScript surfaces where operators work with agents, to the Python services and LLM workflows that power them.. Build agent capabilities that resolve real operational problems: rerouting around a closure, reassigning a stuck order, surfacing the right answer to a dispatcher mid-shift.”
What You'll Achieve.
ship code customers use; leave with something concrete to point to
Industry & Context.
drive ambiguous problems toward a clear outcome; Build agent capabilities that resolve real operational problems
San Francisco office ONLY.
What They're Looking For.
Must Have
Hands-on experience building full-stack web applications, through coursework, side projects, prior internships, or open source., Working knowledge of Python, React (or an equivalent modern framework), TypeScript, HTML, and CSS., Familiarity with REST APIs and relational databases (PostgreSQL preferred).
Nice to Have
Exposure to GraphQL or NoSQL is a plus., Curiosity about LLMs, agents, and AI systems., Prior experience building with them is a plus, not a requirement.
What You'll Do.
Ship features end to end across Nash's agentic layer
from the React and TypeScript surfaces where operators work with agents
to the Python services and LLM workflows that power them.
Build agent capabilities that resolve real operational problems: rerouting around a closure
reassigning a stuck order
surfacing the right answer to a dispatcher mid-shift.
Translate logistics problems into product.
and operations to turn messy real-world workflows into systems that fit how customers actually run their business.
Contribute to system design discussions on how agents reason
when they act on their own
and when they hand off to a human
with senior engineers around the table to push your thinking.
participate in code reviews
and pick up the standards a engineering team runs on.
Debug across frontend
with the observability and evals that catch problems before customers do.
Build responsive interfaces with a sharp eye for latency
loading and error states
and the edge cases that decide whether an operator trusts an agent's recommendation.
How You'll Work.
Team & Collaboration
collaborate across disciplines; Sit in with PM, design, and operations; Contribute to system design discussions; participate in code reviews
Communication Scope
A communicator who can collaborate across disciplines and drive ambiguous problems toward a clear outcome.
Full Job Description
FULL STACK ENGINEERING INTERN San Francisco ABOUT NASH Logistics is the substrate beneath every economy that has ever existed, and it remains the least intelligently coordinated activity in the modern world. Consumer expectations are converging on instantaneous, perfect, free. Networks are not. We call this gap the Logistics Singularity, and closing it is the work. Nash is the Autonomic Logistics OS. We unify decisioning, execution, and capacity into a single programmable system that pursues a business's objectives continuously, adapts as conditions change, and runs the operation at equilibrium across orders, fleets, carriers, providers, and customers. The world's largest retailers, grocers, and pharmacies (including Walmart, 7-Eleven, Woolworths, and Coles) run their critical workflows on Nash. Founded by Mahmoud Ghulman and Aziz Alghunaim, and backed by Y Combinator, a16z, and other top investors. We are based in San Francisco. ABOUT THE ROLE We're looking for a Full Stack Engineering Intern to work on Nash's intelligent and agentic layer: the part of the system that senses conditions on the ground, decides what should happen next, and acts. Agents that triage exceptions, recover routes mid-shift, answer operator questions, and intervene before a promise breaks. You'll work across React and Python to build the interfaces operators trust and the agents working alongside them. This isn't a sandbox internship. You'll pick up real work on day one, ship code customers use, and leave with something concrete to point to. The right person here is as interested in how an agent reasons as in how its decisions show up in the interface. Agents are only as useful as the trust operators place in them, and that trust is built or broken in the product. WHAT YOU'LL DO - Ship features end to end across Nash's agentic layer, from the React and TypeScript surfaces where operators work with agents, to the Python services and LLM workflows that power them. - Build agent capabilities th
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