Senior Analytics Engineer

Overview

Senior Analytics Engineer working on AI-powered analytics experiences, including LLM applications and agentic workflows that help business users uncover insights.

What you'll do

• Build proactive analytics and AI solutions for actionable business insights.
• Design AI-powered analytics tools with conversational, natural-language data querying.
• Create semantic data models and reusable analytics products for AI and LLM reasoning.
• Develop and deploy LLM-powered applications, AI agents, and agentic workflows using RAG and MCP.
• Integrate cloud data platforms, semantic models, and modern AI technologies into scalable enterprise analytics.
• Develop data pipelines, APIs, and backend services using Python and SQL for production-ready solutions.
• Continuously test and optimize models, prompts, and intelligent solutions for reliability and accuracy.

What you'll need

• 8+ years across analytics engineering, BI, data engineering, AI, or related fields, including at least 5 years in analytics engineering.
• 3+ years designing, developing, and implementing end-to-end AI solutions for analytics functions.
• Strong expertise in business analytics, KPI design, analytical data modelling, and metric governance.
• Advanced programming skills in Python and strong SQL expertise.
• Hands-on experience building production AI applications using LLMs.
• Experience with agentic AI frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, or OpenAI Agents SDK.
• Solid understanding of agent orchestration, RAG, tool calling, prompt engineering, memory, and AI evaluation.

Details

• Location: India.
• Listing indicates remote work.