3 to 4 Years (Framework Development & Agentic AI nice to have)
We are building next-generation intelligent systems powered by AI and automation. 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.
Key Responsibilities:
Design, develop, and maintain Python frameworks that provide reusable components and structure for applications.
Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations.
Implement best practices in software engineering: OOP, design patterns, modular architecture.
Develop APIs and SDKs for framework adoption across teams.
Collaborate with AI engineers to integrate Agentic AI systems (e.g., AI agents, LLM orchestration frameworks like LangChain, LlamaIndex, Google ADK).
Ensure security, reliability, and observability of framework components.
Write unit/integration tests and maintain CI/CD pipelines.
Document frameworks, APIs, and libraries for developer adoption.
Participate in code reviews, mentor junior developers, and contribute to technical design discussions.
Required Skills & Experience:
Strong proficiency in Python (3.x), with focus on OOP and modular design.
Proven experience in building frameworks, libraries, or SDKs (not just applications).
Expertise in design patterns, dependency injection, and plugin-based architectures.
Experience with FastAPI, Flask, Django or similar web frameworks.
Solid understanding of APIs (REST, GraphQL) and API gateway integration.
Knowledge of async programming (asyncio, aiohttp).
Proficiency in testing frameworks (PyTest, unittest) and CI/CD workflows.
Strong grasp of security practices (OAuth2, JWT, IAM integration).
Familiarity with cloud platforms (Google Cloud Platform, Azure, AWS) for deploying frameworks.
Nice to Have:
Experience with Agentic AI frameworks (LangChain, LlamaIndex, Google ADK, AutoGen).
Knowledge of LLM fine-tuning, prompt engineering, and guardrails.
Exposure to event-driven architectures (Kafka, Pub/Sub, Redis Streams).
Experience with observability tools (Prometheus, OpenTelemetry, Cloud Logging).
Contributions to open-source Python frameworks or libraries.
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