Senior Software Engineer - Application Security

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