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Artificial Intelligence Engineer at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 4 years. Location: Remote (India). JobType: full-time. We are looking for hands-on Artificial Intelligence Engineers who can design, build, deploy, and own end-to-end AI systems. This role is ideal for practitioners who enjoy shipping production-ready GenAI solutions, working independently, and taking full ownership of AI-driven products.. Key Responsibilities. Design, build, and deploy LLM-powered applications, including RAG and agentic AI systems. . Develop intelligent document processing and document understanding pipelines. . Implement and optimize workflows using frameworks such as LangChain, LangGraph, and related orchestration tools. . Build and deploy scalable AI services on cloud platforms including AWS, GCP, or Azure. . Deliver production-grade AI solutions with a strong focus on performance, reliability, and speed of execution. . Continuously evaluate and improve model outputs, prompts, and system architectures. . Required Skills & Qualifications. Strong hands-on experience building Generative AI and LLM-based systems. . Solid backend development experience using Python and frameworks such as FastAPI or Django. . Practical experience with RAG architectures, embeddings, and vector databases. . Working knowledge of machine learning fundamentals, MLOps practices, and model evaluation techniques. . Ability to work independently, take ownership, and deliver outcomes end to end. . Preferred / Nice-to-Have. Experience with tools such as LlamaCloud, LangSmith, or similar GenAI observability platforms. . Exposure to prompt engineering, evaluation pipelines, and LLM monitoring. . Experience integrating AI systems with structured data sources (SQL, APIs). . Core Skills. Artificial Intelligence · Generative AI · Large Language Models (LLMs) · RAG · Prompt Engineering · LangChain · LangGraph · LlamaCloud · LangSmith · Python · SQL · Machine Learning · MLOps. Company Location: India.