Sword HealthRemote · Remote - Portugal€50k-€72k
Emergent LabsPosted 3mo ago
Staff Engineer - Backend at Emergent Labs scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Architect distributed systems and infrastructure for autonomous coding agents as a backend staff engineer.
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:
- Daily Meals: Lunch and Dinner provided
- Family Insurance: 5 Lakhs worth of coverage for you and your family
- 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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where autonomous agents was part of your work. What did you do?
- Tell me about a project where reliability engineering was part of your work. What did you do?
- 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.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Similar roles
Software Engineering roles rated AI Level 4 at other companies.
GitLabRemote · Bangalore, India
AmazonUS, CA, Cupertino$116k
NotionRemote · San Francisco, California$255k-$300k
Together AISan Francisco$260k-$300k



