The job, in the employer's words
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.
Benefits mentioned
- 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.
- Let's build the future of software together.
Requirements mentioned
- 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.
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.