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python rest apis rag llm knowledge graphs
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πŸ“‹ Description

  • Develop and maintain knowledge graphs and retrieval-augmented generation (RAG) systems for
  • Design, prototype, and deploy AI-driven solutions for chemical process optimization
  • Implement AI/ML models for predictive analytics and decision support in chemical synthesis
  • Build robotic control systems to orchestrate workflows using modular lab equipment
  • Create new applications leveraging the Jupyter framework for web-based tools
  • Integrate and visualize experimental data within applications where applicable

🎯 Requirements

  • Education: BS with 5+ years of experience OR MS in Computer Science or related field
  • Proficiency in Python, Jupyter Notebook, Dataiku DSS, and REST APIs
  • Experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
  • Familiarity with RDKit for cheminformatics applications preferred

🎁 Benefits

  • Excellent full-time benefits, including comprehensive medical coverage, dental, and vision options
  • Life and disability insurance
  • 401(k) with company match
  • Paid vacation and holidays
  • Authorization to work in the United States indefinitely without restriction or sponsorship
  • Overtime as needed
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