Technical Lead-App Development

Birlasoft; Dadri; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Birlasoft is seeking an experienced GenAI App Tech Lead to architect an enterprise-grade conversational AI interface using NodeJS, Python, LangChain, Azure OpenAI and Azure Cognitive Services.

You will guide technical direction, design scalable pipelines, and mentor developers across the project, ensuring robust, production-grade delivery on Azure with emphasis on security and compliance.

Qualifications

• 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 development proficiency in Python and NodeJS.
• Hands-on expertise of SharePoint indexes and data/file structures (Azure SQL).
• Experience with LangChain, Azure OpenAI and Azure Cognitive Search.

Responsibilities

• Implement conversational AI application using NodeJS, Azure OpenAI and Python.
• Integrate AI technologies like OpenAI models, LangChain, Azure Cognitive Services 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.

Skills

Python

NodeJS

LangChain

Azure OpenAI

Azure Cognitive Search

NLP techniques

RLHF

MLOps/LLMOPS

DevOps

Communication

Tools

LangChain

Azure OpenAI

Azure Cognitive Search

Azure Form Recognizer

PostgreSQL

Pinecone

FAISS

Weaviate

ChromaDB

Llama Index

Job description

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.

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