Generative AI Engineer - Python

Role : GenAI Engineer

Experience : 5 - 9 Years

Location : Bangalore / Pune / Chennai

Employment Type : Full-time

Job Summary :

We are looking for a talented GenAI Engineer with expertise in Python, Agentic AI, and Generative AI to design and build intelligent AI-powered applications. The ideal candidate should have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern AI/ML frameworks. You will work on developing scalable AI solutions that leverage NLP, machine learning, and autonomous AI agents to solve complex business problems.

Key Responsibilities :

• Design, develop, and deploy Generative AI and Agentic AI solutions using Python.
• Build intelligent AI agents capable of planning, reasoning, and executing complex workflows.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Design and implement AI/ML models for real-world business use cases.
• Develop NLP-based applications including chatbots, document intelligence, semantic search, and knowledge assistants.
• Fine-tune, evaluate, and optimize Large Language Models (LLMs) for performance and accuracy.
• Integrate AI models with enterprise applications through REST APIs and microservices.
• Work with cross-functional teams to understand business requirements and deliver AI-driven solutions.
• Monitor model performance and continuously improve AI systems for scalability and reliability.
• Stay updated with the latest advancements in Generative AI, Agentic AI, and Machine Learning.

Required Candidate Profile :

• 5 - 9 years of software development experience with strong proficiency in Python.
• Hands-on experience in Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
• Strong understanding of Retrieval-Augmented Generation (RAG) architectures.
• Experience with Natural Language Processing (NLP) techniques and applications.
• Good knowledge of Machine Learning concepts, neural networks, embeddings, and prompt engineering.
• Experience designing, training, deploying, and optimizing AI/ML models.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or equivalent.
• Familiarity with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar.
• Experience with vector databases such as Pinecone, Milvus, Weaviate, ChromaDB, or FAISS.
• Strong understanding of REST APIs, Git, and software development best practices.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with cloud AI platforms (Azure AI, AWS Bedrock, Google Vertex AI, or OpenAI APIs).
• Knowledge of Docker, Kubernetes, and CI/CD pipelines.
• Experience with MLOps, model deployment, and monitoring.
• Exposure to multi-agent systems and autonomous AI workflows.
• Familiarity with prompt engineering, model evaluation, and AI governance.