Description :

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 :

- 7+ 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