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Python + GenAI Developer Location: Gurugram Experience: 4-6 yrs Years Key Responsibilities Design, develop, and maintain scalable backend applications and RESTful APIs. Build AI-powered applications using GenAI, LLMs, and Agentic AI frameworks. Develop conversational AI solutions, AI agents, and workflow orchestration systems. Deploy and manage cloud-native applications on AWS. Implement CI/CD pipelines and follow DevOps best practices. Optimize application performance, scalability, and reliability. Required Skills Strong proficiency in Python, FastAPI, and Django. Hands-on experience with Google ADK, Agentic AI frameworks, and LLM integrations. Experience building conversational AI applications and AI agents. Strong knowledge of AWS, Docker, Kubernetes, and Helm. Experience with CI/CD pipelines and DevOps practices. Proficiency in SQL & NoSQL databases, schema design, query optimization, and connection pooling. Experience with Redis and caching strategies. Hands-on experience with Python AsyncIO and asynchronous programming. Preferred Candidate Strong understanding of OOP, Clean Architecture, Design Patterns, and software engineering principles. Excellent problem-solving, debugging, and collaboration skills. Experience building scalable, production-grade backend and AI applications. Python + GenAI Developer Location: Gurugram Experience: 4-6 yrs Years Key Responsibilities Design, develop, and maintain scalable backend applications and RESTful APIs. Build AI-powered applications using GenAI, LLMs, and Agentic AI frameworks. Develop conversational AI solutions, AI agents, and workflow orchestration systems. Deploy and manage cloud-native applications on AWS. Implement CI/CD pipelines and follow DevOps best practices. Optimize application performance, scalability, and reliability. Required Skills Strong proficiency in Python, FastAPI, and Django. Hands-on experience with Google ADK, Agentic AI frameworks, and LLM integrations. Experience building conversational AI applications and AI agents. Strong knowledge of AWS, Docker, Kubernetes, and Helm. Experience with CI/CD pipelines and DevOps practices. Proficiency in SQL & NoSQL databases, schema design, query optimization, and connection pooling. Experience with Redis and caching strategies. Hands-on experience with Python AsyncIO and asynchronous programming. Preferred Candidate Strong understanding of OOP, Clean Architecture, Design Patterns, and software engineering principles. Excellent problem-solving, debugging, and collaboration skills. Experience building scalable, production-grade backend and AI applications.
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