GenAI Engineering Architect

GenAI Engineering Architect (Must have - AutoGen, CrewAI and WrenAI)

This role requires hands-on project expertise to implement an enterprise application built on top of SQL and unstructured data (images,videos,logs etc.) using AutoGen, CrewAI, Azure OpenAI GPT-4 Turbo and GPT-4V with PTUs.

This is a hands-on architect role requiring both deep technical skills and the ability to deliver complex AI applications end-to-end on large operational databases to render charts, tables and other insights as completions from NLP-based prompts.

Deep experience of Autogen and Azure AI Search is a MUST.

Requirements :

• Must have : AutoGen Framework, CrewAI, WrenAI, SQL Agents, AG-Grid Flask / Django / Fast API development expertise with least 2-3 project delivered as a lead developer / implementation architect.
• Must have : Core Python – Iterators, Generators , OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc.
• Must have : AI Search, Vector Database creation for relational databases and unstructured data
• Must have : Azure app services expertise in terms of building and deploying AI apps using cloud services.
• Must have : Deep expertise in Azure SQL, Azure Data Factory , Linked Services and Azure Synapse etc.
• 9-10 years of overall technology experience in core application development + AI project architectural leadership of at least 3 years
• 5+ years’ experience leading development of AI application using Python backend frameworks and multiple inferencing pipelines
• Rapid PoC / Prototyping skills and expertise in building and demonstrating application blueprints without need a developer’s assistance.
• Deep, hands-on and architectural proficiency in Python, Ag-Grid and ReactJS
• Hands-on expertise of SharePoint indexes and data / file structures (Azure SQL)