Software Engineer, Backend

Description

The company 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.

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.

Responsibilities

• 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.
• 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.

Requirements

• 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.

Benefits

• 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.
• 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.
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• Experience: Any (new grads ok)
• Visa: US citizen/visa only