Software Engineering Intern

Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language intent. Our systems run in production at global scale and are used to build millions of real applications.

Since our public launch, we've crossed $130M in Annualised Revenue and grown to over 10M users across 190+ countries, who have built 12M+ applications on Emergent. We're backed by Creaegis, Khosla Ventures, SoftBank, Lightspeed, Together, Y Combinator, Google, Claypond and Sentinel Global.

We're solving the hard part of AI-driven software creation: correctness, reliability, security, and scale in real production systems. The team is built by repeat founders, Olympiad medalists, and leaders from Google, Amazon, and Dropbox.

We're hiring builders who want ownership, speed, and impact at global scale.

The Role

We're hiring a Software Engineer Intern to build and ship real production systems that serve users globally. You'll work closely with experienced engineers across infrastructure, AI/ML, and product teams, taking ownership of meaningful projects from design to production while learning the principles of distributed systems, scalability, and reliability at scale.

What You'll Do:

• Build and maintain backend services using Python and/or Go.
• Work closely with experienced engineers across infrastructure, AI/ML, and product teams.
• Contribute to real production systems that serve users globally.
• Learn and apply principles of distributed systems, scalability, reliability, and performance.
• Participate in code reviews, debugging, testing, and deployment workflows.
• Take ownership of meaningful projects from design to production.

What We're Looking For:

• Fresh graduates.
• Strong foundation in data structures, algorithms, and computer science fundamentals.
• Proficiency in at least one programming language such as Python, Go, or Java.
• Hands-on experience through internships, academic projects, hackathons, or open-source contributions.
• Strong problem-solving skills and a willingness to learn quickly.
• Ability to thrive in a fast-paced, high-ownership environment.

Nice to Have:

• Exposure to cloud platforms, Docker, Kubernetes, or distributed systems.
• Experience building backend applications, APIs, or developer tools.
• Contributions to open-source projects or strong personal engineering projects.
• Interest in AI, developer infrastructure, or large-scale systems.

Why Join Us:

• Build products used by millions of users worldwide.
• Work alongside exceptional engineers and industry leaders.
• Receive mentorship while owning impactful projects from day one.
• Learn at a pace that's difficult to find anywhere else.
• Competitive compensation and significant growth opportunities.
• Help define the future of software development powered by AI.

Benefits and Perks:

• Health, dental, and vision insurance

Let's build the future of software together.

This internship focuses on backend software development for production systems used by people around the world. You’ll build and maintain services, contribute to projects from design through deployment, and work with infrastructure, AI/ML, and product engineers while developing your understanding of reliable, scalable systems.

Role at a glance

Skills mentioned

What you will likely work on

• Build and maintain backend services using Python and/or Go.
• Contribute to production software serving users globally.
• Take projects from design through production delivery.
• Collaborate with experienced engineers in infrastructure, AI/ML, and product.
• Participate in code reviews, debugging, testing, and deployment workflows.
• Apply and develop knowledge of distributed systems, scalability, reliability, and performance.

Good fit signals

• You are a fresh graduate with a strong grounding in data structures, algorithms, and computer science fundamentals.
• You are proficient in at least one programming language, such as Python, Go, or Java.
• You have practical experience from an internship, academic project, hackathon, or open-source contribution.
• You learn quickly, solve problems methodically, and are comfortable in a fast-paced, high-ownership setting.
• Exposure to cloud platforms, Docker, Kubernetes, or distributed systems—and experience with backend applications, APIs, or developer tools—would be helpful, not essential.