Full Stack Engineering Intern, Nash
Opportunity for equity
Last-mile delivery platform
Be an early applicant
Last-mile delivery platform
21-100 employees
Be an early applicant
Opportunity for equity
21-100 employees
Company mission
To democratize local delivery for business across all industries and sizes.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Nash makes it easier for businesses to manage same day delivery by aggregating available providers such as Lyft, Uber, and DoorDash on one interface. This leaves the business free to select (or automate) the best option based on cost and availability. The startup works across a growing number of verticals, from food delivery, to retail, pharmaceuticals or auto parts.
With a growing consumer demand for fast, hyperlocal delivery, small to medium sized businesses often struggle to keep up with the logistics and costs. This has led to the emergence of more and more last mile delivery startups. However, managing the huge variety of delivery options coming onto the market cost-effectively is often overwhelming and time consuming.
Nash’s strategy of positioning itself between merchants and delivery companies is a clever one so long as it can continue to build partnerships with both national and local delivery providers. So far this strategy has paid off, and the company has experienced rapid growth since its 2021 founding. It already covers all of the USA, and is eyeing up expansion in Canada and the UK in the near future.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jul 2022
$20m
SERIES A
Jan 2022
$9m
SEED
Total funding: $29.2m
Company HQ
The Castro, San Francisco, CA
Leadership
Mahmoud Ghulman
(Co-Founder & CEO)Former MIT Researcher, former Head of Business Development at enterprise AI tech company Mozn. Co-founded and was CEO of gig worker marketplace startup Arsann from 2016 to 2019, and is now a board member.
Aziz Alghunaim
(Co-Founder & CTO)Former Engineer at NYSE listed data software company Palantir Technologies. Is the Co-founder of Tarjimly, a tech nonprofit that connects bilinguals to volunteer as translators for refugees and humanitarian organizations.
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