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Open nowPosted 57 days ago

Senior Software Engineer - Application Security

Emergent Labs48 open roles

Where
Bangalore
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Your applicationOpen nowSenior Software Engineer - Application SecurityEmergent Labs · Bangalore
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The clock on this job

Early applications get read.

14.0% of postings close within 7 days. Measured by our own scanner across the market. Emergent Labs postings stay open a median of 34 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 14.0%7 days
  4. 22.5%14 days
  5. 38.3%30 days
  6. 59.0%60 days
This job: posted 57 days ago

Emergent Labs median: 34 days open

The posting

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 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: Emergent runs a massive, multi-tenant, AI-driven execution environment where code is generated and executed continuously. You will secure the infrastructure that powers autonomous software creation.

What You'll Do:

What You’ll Do

Secure AI-generated applications at scale

  • Define security patterns for applications generated by AI agents
  • Enforce guardrails across auth, data access, APIs, and business logic
  • Build frameworks to ensure secure-by-default app generation

Design “secure generation” systems

  • Work directly with AI/agent pipelines to prevent insecure code from being produced
  • Build validation layers for generated code (static + semantic)
  • Detect prompt injection and adversarial input patterns

Own application threat modeling

  • Identify vulnerabilities in dynamic app creation flows
  • Analyze risks in multi-tenant user-generated environments
  • Build reusable threat models for agent-driven systems

Build developer-facing security primitives

  • Auth systems, permission frameworks, secure SDKs
  • Secure API gateways and rate limiting
  • Input/output validation layers for LLM-driven flows

Red team AI-generated apps

  • Break applications generated by Emergent agents
  • Identify systemic weaknesses vs one-off bugs
  • Feed learnings back into generation systems

What We’re Looking For

  • 5–10+ years in Application Security
  • Strong coding ability (Python, JS/TS, backend systems)
  • Deep understanding of:
  • OWASP Top 10
  • Auth & session management
  • API security
  • Injection & sandbox escape vectors
  • Experience working closely with product/engineering teams

What Sets You Apart

  • You think in systems, not vulnerabilities
  • You want to prevent insecure code from ever existing
  • Experience with:
  • AI/LLM systems
  • Prompt injection & output validation
  • Secure code generation systems

Why Emergent

  • Build security for AI systems that build software
  • Operate at global scale (millions of apps, millions of users)
  • Work directly with founders and core engineering
  • Solve problems that don’t exist anywhere else yet
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