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, IIT & IIM alumni, and leaders from Google, Amazon, and Dropbox.
We're hiring builders who want ownership, speed, and impact at global scale.
Software engineering is about to change more in the next five years than it has in the last fifty.
At Emergent, we're building autonomous coding agents that can generate, test, debug, and deploy production applications directly from plain-language intent.
Not copilots.
Not code-completion tools.
Complete software systems.
Since launching publicly, Emergent has grown to:
We're now tackling the hardest problems in AI-powered software creation:
These aren't solved problems.
There are no playbooks.
That's why we're hiring.
This is not a traditional Staff Engineer role.
You won't be optimizing APIs, managing microservices, or incrementally improving existing infrastructure.
You will help define the architecture of systems that can eventually replace large portions of the software development lifecycle itself.
You'll work on problems at the intersection of:
The systems you build will influence how millions of applications are created.
Design the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve.
Develop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads.
Create new approaches for validation, observability, debugging, evaluation, and fault tolerance where traditional software engineering assumptions no longer apply.
Set architectural standards across infrastructure, platform, agent runtime, and distributed execution systems.
Many of the challenges y
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