USEReady helps enterprises apply AI and agentic intelligence to improve decisions, automate operations, and build smarter, more autonomous business systems. For more than a decade, we have built the foundations that make this possible by modernizing BI environments, migrating legacy platforms, improving data quality, and enabling governed, cloud-first architectures. These foundations now support the next step: AI-driven insights, automated intelligence, and agent-powered decision support that reduce complexity and accelerate outcomes. We work closely with technology leaders such as AWS, Elementum, Snowflake, Tableau, Databricks, and others to help organizations modernize analytics, strengthen governance, and deploy agentic automation with confidence. Our deep expertise, player-coach delivery model, and focus on fast, measurable results make us a trusted partner for building an AI-ready enterprise Description We are looking for a hands-on AI Engineer with strong experience in Python, Generative AI, FastAPI, APIs, and BI/Data platforms to build intelligent enterprise solutions.

Key Responsibilities
1. Develop production-ready AI/GenAI applications using Python and LLMs. 2.



Build REST APIs and backend services using FastAPI. 3. Work with LLMs, prompt engineering, RAG, AI agents, and tool integrations. 4. Integrate AI solutions with BI and data platforms such as Power BI, Microsoft Fabric, Snowflake, Databricks, or Tableau. 5. Work with metadata, data models, semantic models, and data transformation pipelines. 6. Design scalable solutions integrating AI, APIs, databases, and enterprise platforms. 7. Build testing, validation, logging, and error-handling mechanisms. 8. Collaborate with architects, data engineers, BI developers, and product teams. Required Skills 1. 3–5 years of software/AI engineering experience. 2. Robust Python and FastAPI experience. 3. Hands-on experience with Generative AI / LLMs. 4. Valuable understanding of REST APIs, SQL, JSON/YAML, and data processing. 5. Experience with at least one BI/Data platform — Power BI, Microsoft Fabric, Snowflake, Databricks, Tableau, etc. 7. Strong problem-solving and software engineering fundamentals. Must Have 1. LangChain / LangGraph 2. RAG / Agentic AI 3. Azure / AWS / GCP 4. MCP and AI tool integration

📌 Artificial Intelligence Engineer (India)
🏢 USEReady
📍 India