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# Data Scientist GenAI / RAG

- **Company:** Prudent Technologies and Consulting, Inc.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Computer Programming, Databases, Data Infrastructure, Data Visualization, Graph Database, Apache Hadoop, Information Retrieval, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Standard Sql, SQL Databases, Tableau (Software), Feature Engineering, Pytorch, Retrieval-Augmented Generation, Snowflake, Multi-Agent Systems, Random Forest, Apache Spark, Hallucination Detection, Deep Learning, Model Validation, Agentic-AI, Build Management, Scikit Learn, Xgboost, Machine Learning Operations, Evaluation of Large Language Models, Model Context Protocol, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.dice.com/job-detail/63339591-bf39-43a1-9dd8-802128c2794b

## About the Role

Strong hands-on experience in Agentic AI and Multi-Agent Systems
Experience with LangGraph, LangChain, MCP (Model Context Protocol), tool calling, agent orchestration
Strong RAG implementation experience including Vector Databases, Hybrid Retrieval, Reranking, Knowledge Graphs Hands-on experience with AWS Bedrock and enterprise GenAI solutions
Strong Python and SQL skills
Solid Traditional Data Science / Machine Learning background:

 * Classification
 * Regression
 * Forecasting
 * Anomaly Detection
 * Feature Engineering
 * Model Evaluation

Experience with XGBoost, CatBoost, Random Forest, Deep Learning frameworks (PyTorch/TensorFlow)
Experience designing and deploying production AI/ML systems
Understanding of MLOps / LLMOps, model monitoring, evaluation, observability, and retraining pipelines
Ability to translate business problems into ML or Agentic AI solutions
Experience with LLM Evaluation, Hallucination Detection, Groundedness and Retrieval Quality metrics
Exposure to Databricks, Spark, Vector Databases, APIs, Cloud Platforms (AWS preferred), Strong proficiency in programming languages such as Python or R.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Solid understanding of statistical analysis techniques and data modeling.
Proficiency in data visualization tools (e.g., Tableau, Power BI).
Familiarity with big data technologies (e.g., Hadoop, Spark).
Ability to work with databases and query large datasets using SQL.
Strong problem-solving skills and the ability to think critically.
Excellent communication and collaboration skills.

## Description

* Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces
 * Work closely with client data science teams (ML/DL ecosystems)
 * Develop GenAI-based enterprise knowledge solutions
 * Collaborate directly with stakeholders and customers

Tech Environment

 * AWS ecosystem
 * Snowflake (data platform)