Python Developer + AI LLM

Job Description

YOE – 5+ yrs of full-time Notice Period: IMMEDIATE JOINERS ONLY (if you still apply, it'd be of no use) Required: An expert Python Developer with deep expertise in building scalable, event-driven applications with a focus on real-time processing and AI integration . Need someone with LLM/AI experience who can help deploy open source models on Azure. Key Responsibilities: •⁠ ⁠Design and implement complex distributed systems using Python •⁠ ⁠Build and maintain AI integration pipelines •⁠ ⁠Develop and optimize real-time communication systems •⁠ ⁠Create robust function registration and dynamic execution systems •⁠ ⁠ Implement error handling and monitoring solutions •⁠ ⁠Write clean, maintainable, and well-documented code Required Technical Skills •⁠ ⁠ 5+ years of professional Python development experience •⁠ ⁠ Expert knowledge of: - Advanced Python concepts (decorators, metaclasses, async/await) - Dynamic function registration and execution - Type hints and runtime type checking - Event-driven architecture - Asynchronous programming with asyncio - WebSocket implementations - AI integration patterns - Function context management - Dependency injection patterns •⁠ ⁠ Strong understanding of : - OpenAI/Azure OpenAI API integration - Real-time communication protocols - Logging and monitoring systems - Error handling in distributed systems - API design and implementation - Testing frameworks and methodologies Required Soft Skills •⁠ ⁠Strong problem-solving abilities •⁠ ⁠ Excellent communication skills •⁠ ⁠Ability to understand complex systems and their interactions •⁠ ⁠Experience with code review and documentation •⁠ ⁠Self-motivated with strong attention to detail Nice to Have •⁠ ⁠Experience with: - Docker and containerization - CI/CD pipelines - Sentry or similar error tracking platforms - GraphQL - FastAPI or similar modern Python frameworks Project Example: You'll be working on systems similar to this example: •⁠ ⁠Dynamic function registration system that allows runtime configuration of AI agent capabilities •⁠ ⁠Real-time communication system handling voice/text interactions •⁠ ⁠Complex type handling and validation systems •⁠ ⁠ Integration with AI models for natural language processing •⁠ ⁠ Error handling and monitoring across distributed systems Show more Show less