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