Experience:

• 7-12 years of strong proficiency in Python
• Hands-on experience integrating and working with LLM APIs
• Experience building and deploying RAG (Retrieval-Augmented Generation) pipelines
• Experience with distributed systems and microservices architecture
• Experience deploying and managing services on Kubernetes and AWS

Qualification:

• B.Tech. / B.E. in Computer Science or equivalent field

Nice to have:

• Experience with LangChain, LlamaIndex, or similar orchestration frameworks
• Working knowledge of streaming inference, token optimization, and prompt caching strategies
• Exposure to observability and evaluation frameworks for LLM outputs

More skills:

async/await patterns, Pydantic data validation, LLM APIs (OpenAI, Anthropic Claude, Gemini, or similar), RAG (Retrieval-Augmented Generation) pipelines, PostgreSQL / MySQL, ORM frameworks like SQLAlchemy, message queues and event-driven architecture, Redis, RabbitMQ, AWS SQS, Kubernetes, AWS (EKS, Lambda, S3, SQS, RDS), Docker containerization, CI/CD pipelines

Other:

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