Description

You will design and build end-to-end Generative AI applications, focusing on RAG pipelines, agentic workflows, and scalable cloud deployments.

This role is on-site.

Responsibilities

• Develop and maintain GenAI applications using Python, LangChain, and LlamaIndex.
• Design and implement Retrieval Augmented Generation (RAG) pipelines and prompt engineering strategies.
• Build Agentic AI workflows with tool calling capabilities and LLM integration.
• Deploy and manage scalable AI services on Azure, AWS, or GCP.
• Integrate APIs and microservices for robust application delivery.

Required Skills

• 8+ years of software development experience with strong Python proficiency.
• Hands-on experience with GenAI frameworks such as LangChain or LlamaIndex.
• Deep understanding of RAG architecture, vector databases (FAISS, Pinecone, Chroma), and prompt engineering.
• Experience implementing Agentic AI workflows and tool calling with LLMs.
• Proficiency in cloud platforms (Azure, AWS, or GCP) for AI deployment.
• Solid background in API development and microservice architecture.
• Strong system design and problem-solving capabilities.

Key Skills

Education

Any Gradute