This link goes straight to Birlasoft’s own careers page. No account, no fee, and we never collect your resume.
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