Overview
Emergent builds autonomous coding agents that replace traditional software development by generating, testing, and deploying production applications directly from plain-language in
Full job description
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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