Senior Software Engineer Secure AI Agent Access Platform Python
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Salary Not Disclosed
1 Vacancy
Job Description
Were building foundational infrastructure to secure AI agents including their identities access patterns and interactions with sensitive systems and data. This includes designing intelligent dynamic mechanisms for ephemeral access control secrets management and agent/user identity tailored to modern agent frameworks such as LangChain LangGraph Semantic Kernel AutoGen and beyond.
Youll help define how agents (both machine and humanfacing) authenticate receive scoped access perform actions securely and leave behind a verifiable audit trail.
This is a unique opportunity to be part of a startup inside the company building the platform from scratch at one of the most cuttingedge intersections of AI identity and security.
Responsibilities:
Develop secure scalable Python services to support agent identity secrets access credential management and authorization flows.
Implement JWTbased agent/user authentication and realtime 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 highquality welldocumented code.
Work crossfunctionally with internal platform AI and security teams to understand requirements and refine implementation plans.
#LIMS1
Qualifications :
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 zerotrust or dynamic runtime environments is highly valuable.
Experience building SDKs or developerfocused tools is a plus.
A securityfirst 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
