Generative Ai Engineer

Job Tittle : Senior AI Engineer (RAG & LLM Systems)

Experience : 8-10 years (only)

We are seeking a Senior AI Engineer with 8–10 years of experience to architect and deploy production-grade GenAI solutions. As a technical leader, you will design scalable Retrieval-Augmented Generation (RAG) pipelines, integrating advanced vector search with state-of-the-art LLMs to deliver high-accuracy enterprise applications.

What You’ll Do:

• Architect end-to-end AI systems using LangChain, LlamaIndex, or custom orchestration frameworks.
• Optimize retrieval performance using vector databases like Pinecone, Weaviate, or Milvus.
• Deploy and fine-tune models from OpenAI, Anthropic, and Meta (Llama) within cloud environments (AWS/GCP/Azure).
• Lead MLOps initiatives to ensure seamless model monitoring and scalability.

What You Bring:

• Deep expertise in Python, PyTorch/TensorFlow, and NLP.
• Proven track record of moving GenAI projects from R&D to production.
• Mastery of embeddings, similarity search, and prompt engineering.
• Strong system design skills and experience with MLOps tools like MLflow or Kubeflow.