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Emergent Labs

Staff Engineer - Backend

Emergent Labs is hiring a Staff Engineer - Backend in Bengaluru, India. Level rates it ; you can apply on Emergent Labs.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include Databricks, AI agents and distributed systems.
  • Level classifies it as a lead role.
  • Level lists 51 other open roles at Emergent Labs.

AI in this role

Architect distributed systems and infrastructure for autonomous coding agents as a backend staff engineer.

Databricks
ai-agentsdistributed-systemsautonomous-agentsreliability-engineeringprogram-synthesisinfrastructure

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:

  • $100M ARR in under 8 months
  • 11 Million+ users across 190+ countries
  • 12 Million+ applications built on the platform
  • $100M+ raised from Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator

We're now tackling the hardest problems in AI-powered software creation:

  • How do autonomous agents reliably build production systems?
  • How do we verify correctness when outputs are non-deterministic?
  • How do we build trust, safety, observability, and fault tolerance into systems that reason?
  • How do we orchestrate thousands of AI-driven decisions across distributed infrastructure in real time?

These aren't solved problems.

There are no playbooks.

That's why we're hiring.

The Opportunity

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:

  • Distributed systems
  • Autonomous agents
  • Reliability engineering
  • Program synthesis
  • Large-scale infrastructure
  • Runtime execution environments
  • Verification and correctness

The systems you build will influence how millions of applications are created.

What You'll Own

Architect Agent Infrastructure

Design the systems that allow autonomous agents to plan, reason, execute, recover from failures, and continuously improve.

Build for Planetary Scale

Develop backend and infrastructure systems supporting millions of applications, billions of agent actions, and globally distributed workloads.

Solve Reliability for Non-Deterministic Systems

Create new approaches for validation, observability, debugging, evaluation, and fault tolerance where traditional software engineering assumptions no longer apply.

Drive Technical Direction

Set architectural standards across infrastructure, platform, agent runtime, and distributed execution systems.

Create New Engineering Paradigms

Many of the challenges you'll face don't have established solutions.

You'll be expected to invent them.

Raise the Bar

Influence engineering culture, mentor senior engineers, and help build one of the highest-talent-density engineering organizations in the industry.

What We're Looking For

We're less interested in specific technologies and more interested in how you've thought about hard systems problems.

You likely have:

  • 9+ years building large-scale distributed systems
  • Experience owning architecture for critical production infrastructure
  • Deep expertise in concurrency, distributed computing, reliability, performance, and fault tolerance
  • A history of driving technical strategy across multiple teams
  • Strong backend expertise in Go, Python, Java, C++, Rust, or similar languages

You may have worked at companies like Google, Uber, Meta, Databricks, Snowflake, Airbnb, Stripe, Dropbox, Amazon, Microsoft, or exceptional high-growth startups.

Experience with AI systems is helpful but not required.

Exceptional systems engineers learn fast.

Who Thrives Here

  • Engineers who prefer first-principles thinking over established playbooks
  • Builders who want ownership rather than coordination
  • People who enjoy solving ambiguous, unsolved technical problems
  • Engineers who optimize for impact, not titles
  • Individuals who want to help define an entirely new category of software

Why This Role Exists

The software industry spent decades building tools that help engineers write code.

We're building systems that write software.

If successful, this will be one of the most important platform shifts in computing.

You'll help build the foundation.

Compensation

  • Top-of-market salary
  • Significant equity ownership
  • Direct influence on company and technical direction
  • Opportunity to work alongside repeat founders, Olympiad medalists, and engineers from Google, Amazon, Dropbox, and leading AI companies

The best time to join a category-defining company is before the category is defined.

Benefits and Perks:

  1. Daily Meals: Lunch and Dinner provided
  2. Family Insurance: 5 Lakhs worth of coverage for you and your family
  3. Unlimited Paid Time Off: Take the time you need to recharge and come back refreshed
  4. Flexible Working Hours: Work arrangements that fit your life and commitments

Let's build the future of software together.

How we rate this

Staff Engineer - Backend at Emergent Labs rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDistributed SystemsAutonomous AgentsReliability EngineeringProgram SynthesisInfrastructureDatabricks

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where autonomous agents was part of your work. What did you do?
  4. Tell me about a project where reliability engineering was part of your work. What did you do?
  5. Tell me about a project where program synthesis was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Distributed Systems, Autonomous Agents, Reliability Engineering, and Program Synthesis. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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