Generative AI Engineer

Suitable AI; Bengaluru; On-site; INR 4,200,000 - 6,000,000; Full time

Job summary

Suitable AI in Bengaluru, India seeks a seasoned Generative AI Engineer to design, build, and deploy enterprise AI solutions. The role emphasizes Python development, RAG pipelines, and agentic AI workflows to create scalable multi-agent systems.

You will work with vector databases, LangGraph, LangChain, and Azure AI services to deliver intelligent copilots and autonomous agents across business applications.

Qualifications

• Proven experience in Generative AI and Python
• Hands-on work with RAG pipelines and vector databases
• Experience building AI agents and multi-agent workflows
• Familiarity with Azure AI services and Copilot Studio
• Understanding of LLMs, embeddings, and semantic search

Responsibilities

• Design, develop, and deploy Generative AI applications using Python and LLM frameworks.
• 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 and knowledge management.
• Develop copilots and conversational AI solutions using Microsoft Copilot Studio and Azure AI Foundry.
• Implement prompt engineering, context management, and LLM orchestration.
• Collaborate with cross-functional teams to integrate AI into business applications.
• Evaluate, monitor, and improve AI model performance and scalability.

Skills

Python

Generative AI

RAG

Agentic AI

LLMs

Prompt engineering

REST APIs

Git

Azure AI

Education

Bachelor's or Master's in Computer Science/AI

Tools

Pinecone

ChromaDB

FAISS

Weaviate

Milvus

LangGraph

LangChain

Azure Copilot Studio

Azure AI Foundry

Job description

Please read the JD and year of experience

Job Title: Generative AI Engineer (Python | RAG | Agentic AI | Azure AI)

Experience

8-12 Years Experience

Employment Type-Full-Time

Job Summary

We are seeking a skilled Generative AI Engineer with strong expertise in Python and hands-on experience in building enterprise-grade AI solutions using Large Language Models (LLMs). The ideal candidate should have practical experience in Retrieval-Augmented Generation (RAG), Vector Databases, 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.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Python and modern LLM frameworks.
• 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 knowledge management.
• 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.

Required Skills

• 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.

Preferred Skills

• 1-2 years of hands-on experience with LangGraph.
• Experience with LangChain 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.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
• Excellent analytical, problem-solving and communication skills.
• Ability to work in Agile/Scrum environments and collaborate with global teams.