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Country/Region:  IN
Requisition ID:  32327
Work Model: 
Position Type: 
Salary Range: 
Location:  INDIA - NOIDA- BIRLASOFT OFFICE

Title:  Sr Technical Lead-App Development

Description: 

Area(s) of responsibility

GenAI App Tech Lead – Azure OpenAI & Azure Cognitive Search

We are looking for an experienced technical lead to implement an enterprise-grade conversational AI interface leveraging technologies like NodeJS, Python, LangChain, Azure OpenAI and Azure Cognitive Services.

Responsibilities:

  • Implement conversational AI application using NodeJS,Azure OpenAI and Python
  • Integrate various AI technologies like OpenAI models, LangChain, Azure Cognitive Services (Cogniitve Search, Indexes,Indexers and APIS etc) to enable sophisticated natural language capabilities
  • Implementation of private endpoints across the Azure services leveraged for the application
  • Implement schemas, APIs, frameworks and platforms to operationalize AI models and connect them to conversational interfaces
  • Implement app logic for conversation workflows, context handling, personalized recommendations, sentiment analysis etc.
  • Build and deploy the production application on Azure while meeting security, reliability, and compliance standards
  • Create tools and systems for annotating training data, monitoring model performance, and continuously improving the application
  • Mentor developers and provide training on conversational AI development best practices
  • Build and productionize vector databases for the application on Azure cloud

Requirements:

  • 6-8 years of overall technology experience in core application development
  • 2+ years experience leading development of AI apps and conversational interfaces
  • Hands-on implementation centric knowledge of generative AI tools on Azure cloud
  • Deep,hands-on and development proficiency in Python and NodeJS
  • Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL)
  • Hands-on knowledge of Azure Form Recognizer tools
  • Experience with LangChain, Azure OpenAI and Azure Cognitive Search
  • Retrieval Augmented Generation (RAG) and RLHF (Reinforcement Learning from Human Feedback) using Python
  • Vector databases on Azure cloud using PostgreSQL
  • Pinecone,FAISS,Weaviate or ChromaDB
  • Prompt Engineering using LangChain or Llama Index
  • Knowledge of NLP techniques like transformer networks, embeddings, intent recognition etc.
  • Hands-on skills on Embedding and finetuning Azure OpenAI using MLOPS/LLMOPS pipelines
  • Good to have - Strong communication, DevOps, and collaboration skills

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