We are looking for a highly skilled GenAI Engineer with solid hands-on experience in building AI-powered applications using Python and up-to-date 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
Robust 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

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📌 Ai Application Developer Bengaluru (India)
🏢 MindTelligent
📍 India