Description
We are looking for a Senior AI Engineer to help build a production-ready Generative AI application that leverages Large Language Models (LLMs), intelligent automation, and modern machine learning. The ideal candidate should have hands-on experience designing and deploying scalable AI solutions using Python, FastAPI, and cloud platforms such as AWS, Azure, or GCP. You should be comfortable working with OpenAI, Claude, Gemini, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), AI Agents, Model Context Protocol (MCP), prompt engineering, embeddings, semantic search, and vector databases like Pinecone, Weaviate, Qdrant, or FAISS. Experience with AI workflow automation, REST APIs, Docker, MLOps, and production AI deployments is highly valued. Additional experience with Computer Vision, OCR, Voice AI, Speech-to-Text, Text-to-Speech, or multi-agent AI systems is a plus. We're looking for someone who has built real-world AI products, AI assistants, enterprise AI platforms, or intelligent SaaS applications and understands how to deliver scalable, secure, and high-performance AI solutions from development through deployment. Please share relevant AI/ML projects, GitHub repositories, or portfolio examples that demonstrate your experience with modern Generative AI technologies.