AI Prompt Engineer at Radius

Posted on (a year ago)

Bengaluru, India
On-site

Industry: Real Estate

Job Type: Full-time

Experience Level: Mid-Senior Level

Job Description

Radius Agent is a fast-growing real estate technology firm, backed by top leaders and investors in the real estate and technology industries. Our mission is to empower real estate agents with the right technology and support to become successful entrepreneurs. With the launch and rapid scaling of our latest offering, Radius Agent Realty, a virtual brokerage licensed in Colorado and California.

Responsibilities

  • Design and implement robust and scalable solutions that meet the requirements of the applications using advanced AI models.
  • Collaborate with cross-functional teams to integrate AI models into diverse applications, such as chatbots, virtual assistants, content generation tools, and more.
  • Develop effective and creative prompts for various applications, ensuring optimal performance with AI models.
  • Continuously refine and optimize prompts based on model feedback and real-world usage.
  • Work closely with AI research teams to integrate the latest advancements in language models into our applications.
  • Ensure seamless integration of AI models with the overall application architecture.
  • Implement monitoring tools to assess the performance of AI models in real-world scenarios.
  • Iterate on models and prompts to enhance accuracy, efficiency, and user satisfaction.

Requirements

  • Previous experience in software development.
  • Strong programming and coding knowledge. Proficient in any one of the programming languages out of PHP, Golang, Node, Python, JavaScript, Java, or Ruby and the ability to pick up others.
  • Experience with relational and non-relational databases [mysql/postgres/mongodb/couchdb]
  • Familiarity with machine learning frameworks and tools.
  • Previous work on conversational AI applications or virtual assistants.
  • In-depth understanding of NLP techniques
  • Proficiency in data preprocessing techniques to clean, format, and prepare data for training and evaluation of AI models.
  • Understanding and implementation of techniques for explaining and interpreting AI model decisions, particularly in the context of natural language processing.
  • Exposure to a variety of AI models beyond language models, such as computer vision models, and the ability to integrate them into multi-modal applications.
  • Experience working in Agile development environments, with an understanding of Agile methodologies and the ability to adapt to changing project requirements.
  • Proven ability to troubleshoot and debug complex issues in AI applications, as well as a strong problem-solving mindset.
  • Strong communication skills to effectively convey technical concepts to non-technical stakeholders and collaborate with interdisciplinary teams.
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