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Tier-1 brand, metro location, mid-level role, and broad AI skill requirements increase competition.
Specific LLM and Claude integration experience makes this role highly domain-sensitive.
Mandatory Claude, 4+ years Python, LLM integration, and cloud microservices make shortlisting highly strict.
Design, develop, and maintain AI-driven applications leveraging Python and cloud platforms for scalability and efficiency.
Build and sustain RESTful APIs and WebSocket services using frameworks like FastAPI or Flask, supporting microservices architecture.
Integrate and optimize advanced AI technologies including large language models (LLMs) such as Claude (mandatory), Gemini, and OpenAI, implementing RAG-based architectures.
Must have over 4 years of Python development experience with a focus on API development.
At least 2 years experience integrating large language models (LLMs), specifically Claude (mandatory).
Strong experience in cloud environments (Azure, AWS, or GCP) with microservice application deployment expertise.
Education: B.Tech/BE or higher degree.
Experienced in designing and deploying microservice-based AI applications in scalable cloud environments.
Proven ability to integrate and optimize large language models with hands-on experience in Claude.
Skilled in using modern AI libraries (e.g., LangChain, LangGraph) and building robust backend services with Python.