🛠 Tech Stack

💼 About This Role

You'll design, build, and operationalize AI-driven solutions within a global analytics organization, leveraging LLMs and retrieval systems. Your core impact will be building production-grade systems that power next-generation analytics and decisioning capabilities. This role offers the chance to work with Google Gemini API and Microsoft Copilot Studio on real-world GenAI applications.

🎯 What You'll Do

• Design and implement AI agents using Gemini API and Copilot Studio.
• Write Python code to integrate agents with enterprise data sources and REST APIs.
• Build and refine Retrieval-Augmented Generation (RAG) pipelines.
• Craft and iterate prompts for reliable agent behavior.

📋 Requirements

• 5+ years of professional software development experience.
• Strong proficiency in Python and object-oriented principles.
• 1+ year of hands-on experience building applications with LLMs.
• Experience consuming and interacting with REST APIs.

✨ Nice to Have

• Direct experience with Google Gemini, OpenAI, or Azure OpenAI.
• Familiarity with agentic frameworks like LangChain or Semantic Kernel.
• Knowledge of vector databases such as Pinecone or Weaviate.

📨 Hiring Process

Estimated timeline: 3-4 weeks

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4On-site Interview· 120 min

🚩 Heads Up

• Role title suggests Data Science but responsibilities are AI Engineering.