Applied AI Full-Stack Engineer: Build AI-Powered Features

DoorDash, Inc.; Sunnyvale (CA); On-site; USD 204,000 - 299,000; Full time

Benefits offered by this job

401(k) matching

Parental leave

Wellness benefits

Commuter benefits

PTO & sick leave

Medical insurance

Dental insurance

Vision benefits

Paid holidays

Job summary

DoorDash, Inc. is seeking a highly capable Full Stack Engineer for the Applied AI team. You will build end-to-end product experiences, from web and mobile frontends to APIs, data pipelines, and backend services, turning AI agent capabilities into reliable features.

You'll collaborate with researchers to move prototypes to production, and design scalable systems that perform under real-world traffic, with a strong emphasis on ownership and cross-functional collaboration.

Qualifications

• Strong full stack engineering experience with modern frontend frameworks (React/TypeScript) and backend development (Python/Go/Kotlin/Java).
• Experience designing and shipping production systems including APIs, databases, and cloud infrastructure with reliability and performance.
• Track record of shipping user-facing products quickly and iterating based on real usage.
• Interest in AI and integrating LLMs or AI APIs into products; builder mindset and fast iteration.

Responsibilities

• Build complete product experiences end-to-end across web/mobile frontends, APIs, backends, and data pipelines.
• Collaborate with researchers to productionize prototypes and speed up iteration.
• Design systems that hold up under real-world traffic and scale with growth.
• Own features across the stack from UI to infrastructure, with cross-functional collaboration.

Skills

React

TypeScript

Python

Go

Kotlin

Java

APIs

Cloud infrastructure

Databases

Job description

DoorDash, Inc. is seeking a highly capable Full Stack Engineer for the Applied AI team. You will build end-to-end product experiences, from web and mobile frontends to APIs, data pipelines, and backend services, turning AI agent capabilities into reliable features.

You'll collaborate with researchers to move prototypes to production, and design scalable systems that perform under real-world traffic, with a strong emphasis on ownership and cross-functional collaboration.