Disney - Anaheim, CA

posted 4 days ago

Full-time - Principal
Anaheim, CA
1,001-5,000 employees
Motion Picture and Sound Recording Industries

About the position

As a Principal Engineer in the JedAI Platform team at Disney Experiences, you will be a key player in leading the development of innovative Generative AI applications. This role focuses on delivering high-quality AI solutions for strategic projects, requiring collaboration with cross-functional teams and a strong expertise in LLMs (Large Language Models). You will mentor a team of engineers, drive technical decisions, and ensure the implementation of best practices in AI development.

Responsibilities

  • Lead a team of engineers and analysts to deliver POCs of LLM applications, driving technical decisions and best practices.
  • Architect, design, and develop AI applications, integrating with Google Vertex, Microsoft OpenAI Azure, and other LLM suites.
  • Design and implement effective prompts, configure LLM settings, and optimize performance through prompt crafting, RAG, fine-tuning and other techniques.
  • Lead and influence cross-functional teams to define requirements, manage user expectations, and deliver high-quality AI solutions.
  • Develop and maintain API endpoints, front-end features, and full-stack applications that leverage LLMs and Generative AI models.
  • Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent.
  • Integrate analytics and monitoring tools to track user interactions, application performance, and the efficiency of LLM integrations.
  • Mentor, motivate, and develop the technical capabilities of existing engineering team to cultivate a culture of collaboration and excitement.
  • Stay up-to-date with emerging trends and advancements in Generative AI, LLMs, and related technologies.
  • Continuously learn and adapt to emerging changes in AI and LLMs to ensure that the approach the team takes is always at the forefront of innovation while maintaining backward integrability.
  • Drive the adoption of new tools, frameworks, and techniques to improve the efficiency and effectiveness of the team's work.

Requirements

  • 10+ years of experience in full-stack software development, with a strong focus on building enterprise-scale distributed and cloud or hybrid-cloud applications.
  • Regarded as an expert in the growing field of AI and developed AI solutions, prototypes, including GenAI and LLMs.
  • Experience with PyTorch, TensorFlow, ONNX, LangChain, Kubernetes, and Docker.
  • Deep understanding of AI frameworks including Huggingface, semantic search, RAG, LLM agents, AgentGPT, orchestration, plugins, and LLM Ops.
  • Experience with Retrieval-Augmented Generation (RAG) architectures or frameworks like Langchain for building LLM-powered applications.
  • Proficiency in programming languages such as Python, Java, JavaScript, and experience with frameworks like React and Node.js.
  • Experience with cloud platforms such as Google Vertex, Microsoft OpenAI Azure, AWS, and Azure, using various solutions for developing integrations, APIs, and AI/ML applications.
  • Familiarity with databases (e.g., MongoDB, CosmosDB) and big data tools (e.g., Hive, Hadoop, Hbase) and data visualization tools such as Matplotlib, Seaborn, or Plotly.
  • Strong understanding of data preprocessing techniques for LLMs, including tokenization, embedding, and feature engineering, to optimize model performance and accuracy.
  • Experience creating strategy and process for multi-release code management and CI/CD pipeline using tools like Git, Jenkins, and Artifactory.
  • Ability to strategically influence and communicate complex ideas, anticipating varying perspectives and objections.

Nice-to-haves

  • Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Benefits

  • Medical benefits
  • Financial benefits
  • Bonus and/or long-term incentive units may be provided as part of the compensation package.
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