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AI Developer---Onsite at Austin Texas ---W2 only

Jobs via Dice

Austin · On-site Full-time 2d ago

About the role

About

Dice is the leading career destination for tech experts at every stage of their careers. Our client, K Anand Corporation, is seeking the following. Apply via Dice today!

Responsibilities

  • Architecture and Development:
    • Design and implement core components of the AI-based application, including metadata extraction, RAG, redlining.
    • Develop efficient and robust backend algorithms
  • Metadata Extraction:
    • Build and integrate models for key metadata extraction.
  • Retrieval-Augmented Generation (RAG):
    • Implement RAG pipelines for handling complex queries.
  • Redlining and Comparison:
    • Develop redlining capabilities for real-time tracking and comparison, handling extensive text.
  • Data Processing and Optimization:
    • Implement techniques to optimize model performance, focusing on computational efficiency for CPU-based infrastructure.

Mandatory Skills

  • Machine Learning/Agentic AI/ GenAI: Extensive experience with Agentic AI/GenAI models, including but not limited to fine-tuning, LoRA (Low-Rank Adaptation), and RAG. Experience with OpenAI API, Hugging Face Transformers, LangChain, or similar GenAI tools is essential.
  • NLP: Proven experience in text processing, metadata tagging, summarization, and entity recognition.
  • Good Java and Python knowledge

Desired Skills

  • Backend and API Development: Familiarity with building REST APIs to integrate Agentic AI/GenAI models within workflows.

Requirements

  • Extensive experience with Agentic AI/GenAI models, including but not limited to fine-tuning, LoRA (Low-Rank Adaptation), and RAG.
  • Experience with OpenAI API, Hugging Face Transformers, LangChain, or similar GenAI tools is essential.
  • Proven experience in text processing, metadata tagging, summarization, and entity recognition.
  • Good Java and Python knowledge.

Responsibilities

  • Design and implement core components of the AI-based application, including metadata extraction, RAG, redlining.
  • Develop efficient and robust backend algorithms.
  • Build and integrate models for key metadata extraction.
  • Implement RAG pipelines for handling complex queries.
  • Develop redlining capabilities for real-time tracking and comparison, handling extensive text.
  • Implement techniques to optimize model performance, focusing on computational efficiency for CPU-based infrastructure.

Skills

GenAIHugging Face TransformersJavaLangChainLoRAMachine LearningNLPOpenAI APIPythonRAG

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