Title: Generative AI Engineer (Python | RAG | Agentic AI | Azure AI)
Experience: 8–12 Years (Minimum 1–2 years of hands-on experience in Generative AI)
Individual Contributor (IC)
Location-Bangalore
Employment Type-Full-Time
Job Summary
We are seeking a skilled Generative AI Engineer with strong expertise in Python and hands-onexperience in building enterprise-grade AI solutions using Large Language Models (LLMs). The idealcandidate should have practical experience in Retrieval-Augmented Generation (RAG), VectorDatabases, Agentic AI, and Microsoft's AI ecosystem, including Copilot Studio and Azure AI Foundry.Experience with LangGraph for building multi-agent workflows is highly preferred.
Design, develop, and deploy Generative AI applications using Python and modern LLMframeworks.
Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
Develop AI agents and multi-agent workflows using Agentic AI principles.
Integrate Vector Databases for semantic search, document retrieval, and knowledgemanagement.
Develop intelligent copilots and conversational AI solutions using Microsoft Copilot Studio.
Build AI solutions leveraging Azure AI Foundry and Azure AI services.
Implement prompt engineering, context management, and LLM orchestration techniques.
Work with LangGraph to develop scalable agent workflows and autonomous AI systems.
Collaborate with cross-functional teams to integrate AI capabilities into business applications.
Evaluate, monitor, and improve AI model performance, reliability, and scalability.
Strong programming skills in Python.
1–2 years of hands-on experience in Generative AI.
Experience building Retrieval-Augmented Generation (RAG) applications.
Hands-on experience with Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus,etc.).
Experience developing Agentic AI or AI agent-based solutions.
Hands-on experience with Microsoft Copilot Studio or similar AI development tools.
Experience working with Microsoft Azure AI Foundry and Azure AI services.
Strong understanding of Large Language Models (LLMs), prompt engineering, embeddings,and semantic search.
Familiarity with REST APIs, Git, and modern software development practices.
1–2 years of hands-on experience with LangGraph.
Experience with Lang Chain and AI orchestration frameworks.
Knowledge of Azure OpenAI Service.
Experience deploying AI applications on Azure cloud.
Understanding of AI governance, model evaluation, and responsible AI principles.
Familiarity with Docker, CI/CD pipelines, and cloud-native application development.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, InformationTechnology, or a related field.
Excellent analytical, problem-solving, and communication skills.
Ability to work in Agile/Scrum environments and collaborate with global teams.
Pay: ₹3,000,000.00 - ₹4,000,000.00 per year
Application Question(s):
- Can you join within 15 days of selection?
- How many years of hands-on Generative AI experience do you have specifically?
- What is your current and expected CTC?
Work Location: In person
