Technical Lead-App Development

Birlasoft; India; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Birlasoft in Noida (INDIA) is seeking an experienced Technical Lead-App Development to architect and deliver GenAI powered conversational interfaces on Azure.

You will lead a small team, integrate OpenAI models with LangChain and Azure Cognitive Services, and deploy secure, scalable production applications on Azure while ensuring reliability and governance.

Qualifications

• 6-8 years of overall technology experience in core application development.

Responsibilities

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

Skills

Azure OpenAI

Python

NodeJS

LangChain

Azure Cognitive Services

Vector databases

RLHF

NLP techniques

Team leadership

DevOps

Tools

Azure SQL

PostgreSQL

Pinecone

FAISS

Weaviate

ChromaDB

LangChain

OpenAI API

Job description

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Location: INDIA - NOIDA- BIRLASOFT OFFICE

Title: 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