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.
Robust 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.