Country/Region:  IN
Requisition ID:  18883
Work Model: 
Position Type: 
Salary Range: 
Location:  INDIA - NOIDA- BIRLASOFT OFFICE

Title:  Sr Technical Lead-App Development

Description: 

Area(s) of responsibility


GenAI Engineering Architect 
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 databses 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+ year’s 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)
•    Good knowledge of Azure Form Recognizer for OCR of complex images, forms and other data
•    Handson with implementing TaskWeaver, Autogen, Agentic Flows, Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback)
•    Designing and implementing vector databases on Azure cloud using Ai Search and Cosmos DB vCore
•    Sound project implementation level knowledge of Pinecone,FAISS,Weaviate or ChromaDB
•    Deep expertise in Prompt Engineering using DsPy tools etc.
•    Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc.
•    Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines.
•    Strong communication, architectural sketching, and collaboration skills