Senior AI/ML Engineer (Agentic AI / RAG / LLM)

Job Title: Senior AI/ML Engineer Agentic AI / RAG / LLM Experience: 5 - 12 Years Location: Bangalore / Noida Employment Type: Full Time Industry: Product-Based Company Job Description We are looking for highly skilled and passionate AI/ML Engineers with strong expertise in Generative AI, Agentic AI frameworks, RAG architectures, and Large Language Models (LLMs) to join our growing product engineering team. The ideal candidate will have hands-on experience building scalable AI-powered applications, designing intelligent autonomous workflows, and deploying production-grade GenAI solutions using modern AI/ML technologies and cloud ecosystems. This is an exciting opportunity to work on cutting-edge AI products and contribute to next-generation intelligent platforms. Key Responsibilities Design, develop, and deploy scalable AI/ML and Generative AI solutions. Build intelligent applications using Agentic AI frameworks Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Develop autonomous AI workflows with: Tool calling Multi-agent orchestration Memory management Context engineering Implement and optimize Prompt engineering Fine-tuning Embedding pipelines Vector database integrations Build and maintain end-to-end AI/ML pipelines for training, inference, evaluation, and monitoring. Work with structured and unstructured data for AI model development. Collaborate with product, engineering, and business teams to translate AI use cases into scalable solutions. Optimize AI model performance, scalability, reliability, and observability. Ensure best engineering practices including CI/CD, testing, and deployment automation. Mandatory Skills 512 years of experience in AI/ML, Data Science, or Software Engineering. Strong hands-on expertise in: Python Machine Learning Deep Learning NLP Strong experience with Generative AI Large Language Models (LLMs) Agentic AI frameworks Retrieval-Augmented Generation (RAG) Hands-on experience with: LangChain LangGraph LlamaIndex OpenAI APIs Hugging Face Experience with Prompt Engineering Fine-tuning Embeddings Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate) Good understanding of AI/ML lifecycle Model evaluation MLOps concepts AI deployment architectures Experience with cloud platforms such as AWS, Azure, or GCP. Job Title: Senior AI/ML Engineer Agentic AI / RAG / LLM Experience: 5 - 12 Years Location: Bangalore / Noida Employment Type: Full Time Industry: Product-Based Company Job Description We are looking for highly skilled and passionate AI/ML Engineers with strong expertise in Generative AI, Agentic AI frameworks, RAG architectures, and Large Language Models (LLMs) to join our growing product engineering team. The ideal candidate will have hands-on experience building scalable AI-powered applications, designing intelligent autonomous workflows, and deploying production-grade GenAI solutions using modern AI/ML technologies and cloud ecosystems. This is an exciting opportunity to work on cutting-edge AI products and contribute to next-generation intelligent platforms. Key Responsibilities Design, develop, and deploy scalable AI/ML and Generative AI solutions. Build intelligent applications using Agentic AI frameworks Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Develop autonomous AI workflows with: Tool calling Multi-agent orchestration Memory management Context engineering Implement and optimize Prompt engineering Fine-tuning Embedding pipelines Vector database integrations Build and maintain end-to-end AI/ML pipelines for training, inference, evaluation, and monitoring. Work with structured and unstructured data for AI model development. Collaborate with product, engineering, and business teams to translate AI use cases into scalable solutions. Optimize AI model performance, scalability, reliability, and observability. Ensure best engineering practices including CI/CD, testing, and deployment automation. Mandatory Skills 512 years of experience in AI/ML, Data Science, or Software Engineering. Strong hands-on expertise in: Python Machine Learning Deep Learning NLP Strong experience with Generative AI Large Language Models (LLMs) Agentic AI frameworks Retrieval-Augmented Generation (RAG) Hands-on experience with: LangChain LangGraph LlamaIndex OpenAI APIs Hugging Face Experience with Prompt Engineering Fine-tuning Embeddings Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate) Good understanding of AI/ML lifecycle Model evaluation MLOps concepts AI deployment architectures Experience with cloud platforms such as AWS, Azure, or GCP.