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Nash

Full Stack Engineering Intern

Nash

Full Stack Engineering Intern with hands-on coding experience at Nash to build client-facing features. Work included with React and Python to enhance logistics operations in real-world scenarios.

Posted 5/18/2026internshipSan Francisco • California • 🇺🇸 United StatesEntry LevelWebsite

Tech Stack

Tools & technologies
GraphQLNoSQLOpen SourcePostgresPythonReactTypeScript

About the role

Key responsibilities & impact
  • 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. Sit in with PM, design, 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.
  • Write clean, well-tested code, participate in code reviews, and pick up the standards a strong engineering team runs on.
  • Debug across frontend, backend, and model behavior, 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.

Requirements

What you’ll need
  • Currently pursuing a degree in Computer Science or a related field, or recently graduated.
  • 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). 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.
  • Product sense and craft. You care about how things feel, not just whether they work.
  • A strong communicator who can collaborate across disciplines and drive ambiguous problems toward a clear outcome.
  • High agency. You don't wait to be told what to do next.

Benefits

Comp & perks
  • Early-stage, well-funded company with real revenue and global enterprise customers.
  • Massive ownership and direct collaboration with senior engineers and the founders.
  • In-person time with the team in our SF office.
  • Competitive compensation.
  • Flexible paid time off.
  • Health, dental, and vision insurance.

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Hard Skills & Tools
PythonReactTypeScriptHTMLCSSREST APIsPostgreSQLGraphQLNoSQLfull-stack web applications
Soft Skills
communicationcollaborationproblem-solvingcuriosityproduct sensehigh agency
Certifications
degree in Computer Science