Generative AI Engineer

Generative AI Engineer Location: Chennai, India Experience: 4+ Years About the Role: We are seeking a Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures. Key Responsibilities: Design and implement Generative AI applications using modern LLM frameworks. Develop Agentic AI systems with autonomous planning and tool orchestration capabilities. Build scalable AI-powered solutions integrated with enterprise applications. Develop and optimize RAG pipelines using vector databases and embeddings. Evaluate model performance and implement responsible AI practices. Collaborate with engineering teams to integrate AI services into business workflows. Participate in architecture design and technical reviews. Required Skills: 4+ years of software development experience. Strong Python programming skills. Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks. Experience with Vector Databases and Embeddings. Knowledge of Agentic AI, RAG, and Multi-Agent Systems. Understanding of Machine Learning and Deep Learning fundamentals. Experience with Kafka, APIs, and enterprise integrations. Familiarity with Docker and cloud platforms (AWS, Azure, or GCP). Strong understanding of REST APIs, system design, and data structures. Preferred Skills: Experience building production-grade AI applications. Knowledge of model evaluation and prompt engineering techniques. Generative AI Engineer Location: Chennai, India Experience: 4+ Years About the Role: We are seeking a Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures. Key Responsibilities: Design and implement Generative AI applications using modern LLM frameworks. Develop Agentic AI systems with autonomous planning and tool orchestration capabilities. Build scalable AI-powered solutions integrated with enterprise applications. Develop and optimize RAG pipelines using vector databases and embeddings. Evaluate model performance and implement responsible AI practices. Collaborate with engineering teams to integrate AI services into business workflows. Participate in architecture design and technical reviews. Required Skills: 4+ years of software development experience. Strong Python programming skills. Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks. Experience with Vector Databases and Embeddings. Knowledge of Agentic AI, RAG, and Multi-Agent Systems. Understanding of Machine Learning and Deep Learning fundamentals. Experience with Kafka, APIs, and enterprise integrations. Familiarity with Docker and cloud platforms (AWS, Azure, or GCP). Strong understanding of REST APIs, system design, and data structures. Preferred Skills: Experience building production-grade AI applications. Knowledge of model evaluation and prompt engineering techniques.