Youll help define how agents (both machine and human-facing) authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Develop secure, scalable Python services to support agent identity, secrets access, credential management, and authorization flows.
Implement JWT-based agent/user authentication, and real-time policy checks based on agent context and tool usage.
Build SDKs, wrappers, and tool integrations that enable popular agent frameworks (LangChain, LangGraph, Semantic Kernel, etc.) to securely request and use secrets.
Collaborate closely with the architect and other engineers to design components with clear boundaries and clean contracts.
Ensure secrets and credentials are injected only when needed, redacted from logs, and never persist in agent memory or prompts.
Write thorough tests and maintain high-quality, well-documented code.
Work cross-functionally with internal platform, AI, and security teams to understand requirements and refine implementation plans.
5+ years of backend or systems development experience, primarily in Python.
Strong understanding of secure API development, authentication models (JWT, OAuth2), and basic access control patterns.
Exposure to secrets management platforms (AWS Secrets Manager, CyberArk Conjur, etc.) – bonus.
Familiarity with or strong interest in AI agent frameworks (LangChain, AutoGen, LlamaIndex, etc.).
Exposure to identity and access management concepts especially in zero-trust or dynamic runtime environments is highly valuable.
Experience building SDKs or developer-focused tools is a plus.
A security-first mindset, attention to detail, and strong debugging/testing skills.
Excellent communication and collaboration skills youll be interfacing with multiple engineering groups to deliver complete and secure solutions.
