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 **$100M in ARR** and grown to **over 10M users across 190+ countries** , who have built **12M+ applications** on Emergent. We're backed by **Creaegis, Claypond, Sentinel Global, Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator.**
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.
**The Role**
We're not building another developer tool. We're building the system that replaces software development itself. As a Staff Engineer on Autonomous Systems, you will define the technical foundation for how AI agents reliably generate, test, and deploy production-grade software at global scale. This role exists for engineers who think in systems, care about correctness as much as speed, and want to solve problems that don't have playbooks.
**What You'll Do:**
- Architect autonomous systems where AI agents reliably generate production-grade software, with feedback loops for self-correction, validation, and continuous improvement.
- Build infrastructure that supports millions of applications and real-time workloads, solving for latency, concurrency, and reliability at global scale.
- Establish standards for correctness, observability, and fault tolerance across backend, infrastructure, and AI layers.
- Collaborate deeply with AI/ML, infrastructure, and product teams to build end-to-end systems from model interaction layers to distributed execution engines.
- Debug non-deterministic systems, design for edge cases you can't enumerate, and build systems that reason, not just execute.
- Mentor engineers and influence technical culture and direction across teams.
**What We're Looking For:**
- 8+ years of experience building large-scale backend or distributed systems.
- Strong proficiency in Python and/or Go.
- Deep understanding of distributed systems, concurrency and parallelism, and system design under scale and failure.
- Proven track record of owning architecture for critical production systems, not just contributing to them.
- You think in trade-offs, simplify complex systems without dumbing them down, and have influenced engineering direction across teams.
- Experience with AI/ML infrastructure or LLM-based systems is a strong plus.
- Familiarity with Kubernetes, Docker, AWS/GCP/Azure, event-driven systems, and data infrastructure is a bonus.
**Why Join Us:**
- Define how software gets built in the AI era, not optimize what already exists.
- Work on systems already under real-world stress at global scale, early in the company's journey.
- Small, high-agency team with zero bureaucracy and direct impact on product and architecture.
- Work alongside engineers from Google, Amazon, and Dropbox, Olympiad medalists, and repeat founders.
- Top-tier compensation and meaningful equity.
**Benefits and Perks:**
- 401(k)
- Health, dental, and vision insurance
- Unlimited Paid Time Off: take the time you need to recharge and come back refreshed
- Flexible Working Hours: work arrangements that fit your life and commitments
Let's build the future of software together.
Visa sponsorship is not available for this role.
