- Developed and Integrated GenAI with MDM applications.
- Developed GenAi application for customer’s day to day work.
- Helped client to adopt Gen AI techniques in MDM domain on the MDM tools.
- Developed and fine-tuned an open-source model to specialize in the company's internal report analysis.
- Developed a RAG-based app to help customers easily access help from the user guide.
- Developed an agent for automatic JIRA ticket analysis.
- Developed an Agentic AI solution using Langgraph to monitor the 195 business critical Azure ADF pipelines 24x7 in production, in case of failure automatically analyze, classify, remedate, create SNOW, notify over teams and email.
- Developed a customer query helper RAG bot using Google ADK for business users to assist with their day-to-day activities.
- Implemented MCP Server using Model Context Protocol.
- Implemented A2A (Agent to Agent) protocol.
- Implemented LLM Observability using Langsmith. Arize Phoenix.
- Evaluated LLM based application using BLEU score, ROUGE score, BERT score and many more metrics.
- Developed the company's internal RAG-based bot development.
Requirements:
Experience in Generative AI, Agentic AI, Langsmith, MCP (Model Context Protocol), A2A (Agent to Agent Protocol), NLP (Natural Language Processing), NLTK, Spacy, RAG (Retrival Augmented Generation), Vector DB (FAISS, ChromaDB), Embedding, , Huggingface, Prompt Engineering, Deep Learning, ANN, RNN.
Kolkata based candidates required. It's a freelancing opportunity so need to leave the full time job.
Those who don't have working experience in GenAI, Agentic AI and Prompt Engineering they don't need to apply.
Pay: ₹3,000.00 - ₹4,000.00 per day
Work Location: In person
