Description

You will design and implement enterprise-scale AI applications that integrate operational SQL data and unstructured data to generate complex insights.

This role is hybrid.

Responsibilities

• Design scalable, secure architectures for AutoGen-based LLM-integrated applications and define data models for relational database integration.
• Lead implementation efforts by developing robust APIs and writing maintainable code to connect applications with relational databases.
• Integrate operational data from various relational databases while ensuring data consistency and integrity.
• Identify performance bottlenecks and implement tuning strategies to improve data retrieval and processing speed.
• Create technical documentation, including architecture diagrams and API specifications, and mentor junior team members.

Required Skills

• 9-10 years of technology experience with at least 3 years in AI project architectural leadership.
• Expertise in AutoGen Framework, CrewAI, WrenAI, and SQL Agents.
• Deep proficiency in Python, including OOP concepts, iterators, generators, and ORM.
• Hands-on experience with Azure AI Search and creating vector databases for relational and unstructured data.
• Extensive experience with Azure SQL, Azure Data Factory, Linked Services, and Azure Synapse.
• Proven ability in Flask, Django, or FastAPI development with 2-3 projects delivered as a lead.
• Experience building and deploying AI apps using Azure App Services.
• Proficiency in implementing TaskWeaver, Agentic Flows, RAG, and RLHF.
• Hands-on skill with AG-Grid, ReactJS, and Azure Form Recognizer for OCR.

Preferred Skills

• Ability to perform rapid PoC and prototyping of application blueprints independently.

Key Skills

Education

Any Graduate