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Our team is looking for a skilled Python Developer with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks, APIs, and integrations while enabling AI-driven agents to perform complex workflows securely and efficiently.\nKey Responsibilities:\nDesign, develop, and maintain Python frameworks that provide reusable components and structure for applications.\nArchitect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.\nImplement best practices in software engineering: OOP, design patterns, modular architecture.\nDevelop APIs and SDKs for framework adoption across teams.\nCollaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).\nEnsure security, reliability, and observability of framework components.\nWrite unit/integration tests and maintain CI/CD pipelines.\nDocument frameworks, APIs, and libraries for developer adoption.\nParticipate in code reviews, mentor junior developers, and contribute to technical design discussions.\nRequired Skills & Experience:\nStrong proficiency in Python (3.x), with focus on OOP and modular design.\nProven experience in building frameworks, libraries, or SDKs (not just applications).\nExpertise in design patterns, dependency injection, and plugin-based architectures.\nExperience with FastAPI, Flask, Django or similar web frameworks.\nSolid understanding of APIs (REST, GraphQL) and API gateway integration.\nKnowledge of async programming (asyncio, aiohttp).\nProficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.\nStrong grasp of security practices (OAuth2, JWT, IAM integration).\nFamiliarity with cloud platforms (GCP, Azure, AWS) for deploying frameworks.\nNice to Have:\nExperience with Agentic AI frameworks (LangChain, LlamaIndex, Google ADK, AutoGen).\nKnowledge of LLM fine-tuning, prompt engineering, and guardrails.\nExposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).\nExperience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).\nContributions to open-source Python frameworks or libraries.\nIdeal Candidate:\nA framework builder mindset - 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