Generative AI Engineer (Tamil Nadu)

Hiring Generative AI Engineer Role Overview We are looking for a Generative AI Engineer with 3-4 years of experience in Machine Learning and AI application development. The ideal candidate should have strong ML fundamentals and hands-on experience in designing and building GenAI solutions using Large Language Models (LLMs), RAG, and AI Agent frameworks. Key Responsibilities - Design, develop, and deploy Generative AI applications. - Build RAG pipelines using embeddings and vector databases. - Develop AI Agents and integrate LLMs with enterprise applications. - Optimize prompts, retrieval, and model performance. - Collaborate with cross-functional teams to deliver scalable AI solutions. - Stay updated with the latest advancements in GenAI technologies. Required Skills - Strong Python programming skills. - Valuable understanding of Machine Learning and Deep Learning fundamentals. - Hands-on experience with LLMs, Prompt Engineering, RAG, and AI Agents. - Experience with LangChain, LangGraph, or similar GenAI frameworks. - Knowledge of vector databases such as PGVector, Milvus, Pinecone, Chroma, or FAISS. - Experience with SQL/PostgreSQL and REST APIs. - Familiarity with Hugging Face, Transformer models, and embedding models. - Basic understanding of Docker, Git, and cloud platforms (AWS/Azure/GCP). Preferred Skills - Fine-tuning using LoRA/QLoRA. - Experience with open-source LLMs (Llama, Gemma, Qwen, Mistral). - Knowledge of LLM evaluation, guardrails, and AI safety. - Exposure to Knowledge Graphs or GraphRAG is a plus. Hiring Generative AI Engineer Role Overview We are looking for a Generative AI Engineer with 3-4 years of experience in Machine Learning and AI application development. The ideal candidate should have strong ML fundamentals and hands-on experience in designing and building GenAI solutions using Large Language Models (LLMs), RAG, and AI Agent frameworks. Key Responsibilities - Design, develop, and deploy Generative AI applications. - Build RAG pipelines using embeddings and vector databases. - Develop AI Agents and integrate LLMs with enterprise applications. - Optimize prompts, retrieval, and model performance. - Collaborate with cross-functional teams to deliver scalable AI solutions. - Stay updated with the latest advancements in GenAI technologies. Required Skills - Strong Python programming skills. - Valuable understanding of Machine Learning and Deep Learning fundamentals. - Hands-on experience with LLMs, Prompt Engineering, RAG, and AI Agents. - Experience with LangChain, LangGraph, or similar GenAI frameworks. - Knowledge of vector databases such as PGVector, Milvus, Pinecone, Chroma, or FAISS. - Experience with SQL/PostgreSQL and REST APIs. - Familiarity with Hugging Face, Transformer models, and embedding models. - Basic understanding of Docker, Git, and cloud platforms (AWS/Azure/GCP). Preferred Skills - Fine-tuning using LoRA/QLoRA. - Experience with open-source LLMs (Llama, Gemma, Qwen, Mistral). - Knowledge of LLM evaluation, guardrails, and AI safety. - Exposure to Knowledge Graphs or GraphRAG is a plus.