Gen AI Engineer

We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building AI-powered applications using Python and modern LLM orchestration frameworks. The ideal candidate should have practical expertise in developing Agentic AI solutions, RAG pipelines, multi-agent workflows, and scalable backend services integrated with Large Language Models (LLMs). The role requires deep technical knowledge of AI application architecture, prompt engineering, vector databases, and enterprise-grade AI solution development. Key Responsibilities 4+ Years of Design and develop scalable GenAI applications using Python Build intelligent AI agents and multi-agent workflows using Agentic AI frameworks Develop and optimize RAG (Retrieval-Augmented Generation) pipelines Work with LLM orchestration frameworks such as LangChain and LlamaIndex Integrate LLMs with enterprise systems, APIs, databases, and external tools Implement prompt engineering, context management, memory handling, and agent workflows Develop REST APIs and backend services for AI applications Work with vector databases and embedding models Optimize AI application performance, scalability, observability, and cost Collaborate with cross-functional teams including product, data engineering, and DevOps Ensure security, governance, and responsible AI practices in application development Mandatory Skills Strong programming expertise in Python Hands-on experience with Generative AI (GenAI) application development Strong experience with LangChain Hands-on experience with LlamaIndex Experience in building Agentic AI / AI Agents Strong understanding of LLMs, prompt engineering, and AI orchestration Experience in RAG architecture and vector databases Knowledge of REST APIs and microservices architecture Experience with cloud platforms such as AWS, Azure, or GCP Familiarity with Docker and containerized deployments Strong debugging and problem-solving skills You can also share your profile at [HIDDEN TEXT]