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Full Time

Job Description

  • Design, develop, and oversee the implementation of end-to-end AI solutions
  • Collaborate with business and IT stakeholders to understand and fulfill the AI needs of the organization
  • Create architectural approaches for AI software and hardware integration
  • Define AI solution objectives and ensure alignment with business outcomes
  • Monitor AI industry trends and maintain state-of-the-art industry knowledge
  • Implement best practices for AI testing, deployment, and maintenance
  • Expertise in retrieval systems and search algorithms.
    - Familiarity with vector databases and embeddings. - Strong background in a wide range of ML approaches, from Artificial Neural Networks to Bayesian methods. - Excellent problem-solving skills; the ability to take on problems the world has yet to solve. - Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams.
  • Proven experience building and deploying RAG systems and/or LLM-powered applications in production environments.
  • Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow.
  • Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex).
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Rarr Technologies
Rarr Technologies

Information Technology

San Francisco

50-100 Employees

509 Jobs

    Key People

  • Jane Doe

    CEO
  • John Smith

    CTO

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