Artificial Intelligence Engineer

📋 Description

• Build, deploy, maintain production-ready LLM, RAG, and agentic AI systems.
• Design document intelligence pipelines for AI-powered workflows.
• Develop AI apps using LangChain, LangGraph, and LlamaCloud.
• Build backend services and APIs for AI-powered apps and workflows.
• Design retrieval systems with embeddings and vector databases (RAG).
• Deploy AI services on AWS, GCP, and Azure.

🎯 Requirements

• 4+ years of professional experience in AI/ML or related field.
• Strong hands-on experience with Generative AI and LLM-based systems.
• Backend development with Python and frameworks such as FastAPI or Django.
• Practical experience with RAG, embeddings, vector databases, and retrieval systems.
• Experience with LangChain, LangGraph, or LlamaCloud.
• Familiarity with prompt engineering and AI observability tools (LangSmith, SQL) is a plus.

🎁 Benefits

• Competitive compensation: INR 10,00,000–1,00,00,000 per year
• Flexible remote work from within India.
• Part-time engagement designed for experienced AI professionals, freelancers, and consultants.
• Opportunity to work on hands-on GenAI, LLM, and RAG projects.
• Exposure to LangChain, LangGraph, LlamaCloud, and LangSmith.
• Opportunity to work with AWS, GCP, and Azure.