Generative AI Engineer

Position: Generative AI Engineer

Experience: 8–10 Years

Job Overview

We are seeking a seasoned Generative AI Engineer to design and deliver advanced AI solutions powered by Large Language Models and Retrieval-Augmented Generation (RAG). In this role, you will lead the development of scalable, high-performance GenAI systems that combine intelligent retrieval, vector search, and generative capabilities. You will work closely with cross-functional teams to build enterprise-ready AI applications, optimize model performance, and drive AI initiatives from concept to production.

Key Responsibilities & Requirements

• 8–10 years of experience in AI/ML engineering with strong expertise in NLP and LLM-based systems
• Advanced proficiency in Python and AI frameworks such as PyTorch, TensorFlow, and Hugging Face
• Hands-on experience with RAG pipelines, embeddings, similarity search, and vector databases (Pinecone, FAISS, Weaviate, Chroma, Milvus)
• Proven experience deploying GenAI solutions using OpenAI, Azure OpenAI, Anthropic, or open-source LLMs
• Familiarity with LangChain, LlamaIndex, or custom LLM orchestration frameworks
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow)
• Strong system architecture, API design, and production deployment skills