Senior Gen AI Engineer

Role Overview

We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization.

What You Will Do

Key Responsibilities: Agent Development & Architecture, GenAI Application Engineering, Data & Platform Engineering, MLOps / LLMOps, Collaboration & Stakeholder Engagement

Why It Might Be a Fit

5–8 years of experience in AI/ML engineering, data science, or software engineering, with atleast 2 years focused on GenAI.

Requirements

• 5–8 years of experience in AI/ML engineering, data science, or software engineering
• Strong programming expertise in Python, distributed computing using PySpark, and API development
• Hands on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs)
• Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration
• Solid understanding of GenAI concepts: prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine tuning, context engineering
• Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), and CI/CD pipelines for ML/AI
• Strong problem solving, system design thinking, and ability to translate business needs into scalable AI solutions
• Excellent verbal, written communication and presentation skills