Generative AI Engineer

About the job

Job Title: Generative AI Engineer Location: India (Remote) Experience: 8–10 Years We are seeking a seasoned Generative AI Engineer with strong expertise in building and deploying large-scale LLM and RAG-based solutions. In this role, you will design retrieval pipelines, integrate vector search technologies, and develop high-performance generative applications for enterprise environments. You will work across the full lifecycle from architecture and experimentation to production deployment while driving best practices in prompt engineering, model orchestration, and MLOps. Key Responsibilities & Skills • 8–10 years of experience in AI / ML engineering with hands-on work in NLP and LLM ecosystems. • Strong command of Python and libraries such as PyTorch, TensorFlow, and Hugging Face. • Expertise with vector databases (FAISS, Pinecone, Weaviate, Chroma, Milvus). • Proven experience designing RAG systems, embeddings, and retrieval workflows. • Experience delivering GenAI applications using OpenAI, Anthropic, Llama, Azure OpenAI, etc. • Familiarity with LangChain, LlamaIndex, and custom LLM orchestration. • Strong cloud and MLOps experience with AWS / GCP / Azure, MLflow, Kubeflow, or Airflow. • Solid understanding of system design and API integration.

Requirements

• LLM and RAG-based solutions
• Python
• PyTorch
• TensorFlow
• Hugging Face
• Vector databases

Preferred Technologies

• LLM and RAG-based solutions
• Python
• PyTorch
• TensorFlow
• Hugging Face
• Vector databases