Area(s) of responsibility

Required Qualifications

Ability to perform customer demonstration , lead use-case workshops
9+ years of hands-on experience in software engineering, with at least 1+ years in AI/GenAI engineering.
Strong proficiency in Python, APIs, microservices, and cloud-native design.
Demonstrated experience with LLMs, embeddings, vector databases, and RAG pipelines.
Practical knowledge of AI fundamentals, ML algorithms, probability, optimization, and LLM architecture.
Deep understanding of Agentic AI principles, agent design patterns, tool orchestration, and autonomous task execution.
Experience with Microsoft Foundry (Azure AI Studio / Fabric) and/or AWS Bedrock for building GenAI applications.