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Looking for candidate who can help develop a multi-agent (GenAI based only) ecosystem with strong background in Python, RAG, LLM.
Responsibilities:
Hands-on experience with AI tools (OpenAI, Claude etc), and frameworks like LangChain, HuggingFace Transformers, PyTorch, enabling enterprise-grade conversational AI and RAG solutions.
Experience in Building end-to-end NLP pipelines covering data acquisition, text preprocessing, feature engineering, modeling, and deployment for use cases like test classification, sentiment analysis, information retrieval, summarization, and topic modelling.
Design LLMpowered agents and workflows build RAG pipelines using embeddings and vector databases.
Requires strong Python experience and hands on work with LLM APIs and RAG with strong debugging and experimentation mindset.
Job ID: 147315613
Skills:
snowflake , Databricks, Sql, React, Database Optimization, Exploratory Data Analysis, Performance Tuning, Model Tuning, Statistics, GPT, LLM RAG based agents, Building evaluation metrics, Vector stores, LLM concept of vectorization, Data Analysis, Langchain, LLamaIndex, AutoGen, Agentic AI, Regression data analysis, Machine Learning techniques, Claude models
Skills:
Python, Gen AI, Product Engineering, OpenAI, Llm
Skills:
python, Ms Azure, Html
Skills:
data engineering , Subqueries, Database Technologies, Sql Development, Shell scripting, Joins, Python, GenAI Codex CLI, Window functions, Complex SQL queries, CTEs
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