GenAI Engineer

A GenAI Engineer is an ML engineer who can design, develop, deploy, optimize and maintain GenAI-based systems.

• Context:
  • They can (typically) design and optimize Generative AI Models.
  • They can (typically) be able to integrate Generative AI Technologies.
  • They can (typically) be aligned with a GenAI Engineering Job Description and a specific GenAI Engineering Job Level.
  • They can (often) have experience with Deep Learning Frameworks.
  • They can make extensive use of Generative AI Platforms.
  • They can be responsible for the end-to-end development and deployment of Generative AI Models.
  • They can follow GenAI Engineering Best Practices.
  • They can specialize in different domains of GenAI such as Text Generation, Image Generation, Code Generation, and more.
  • …
• Example(s):
  • a GenAI Chatbot Engineer, developing GenAI Chatbots.
  • a GenAI NLP Engineer, developing GenAI-based NLP systems.
  • one working on Real-time Generative Content Production.
  • one specialized in Fine-Tuning and optimizing GenAI models for specific tasks.
  • …
• Counter-Example(s):
  • A Data Analyst/Scientist working solely on Data Analytics.
  • A Traditional ML Engineer who does not work with generative models.
  • A System Architect not involved in AI development.
• See: ML Engineer, MLOPs Engineer, GenAI Ops Engineer.

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References

2023

• GBard
  • A GenAI engineer specializes in developing and deploying generative AI models. Generative AI is a subfield of artificial intelligence focused on creating new content such as text, images, and music. GenAI engineers are responsible for building and maintaining the systems that run these models and for innovating their applications.
  • Responsibilities include:
    • Designing and developing generative AI models
    • Researching new techniques in generative AI
    • Deploying and maintaining models in production environments
    • Collaborating with product managers and stakeholders
    • Monitoring and optimizing model performance
    • Troubleshooting and resolving model-related issues
  • Qualifications include:
    • A bachelor's degree in computer science, engineering, or a related field
    • Strong programming skills in Python, R, or similar
    • Experience in machine learning and artificial intelligence
    • Familiarity with cloud computing platforms like AWS or Azure
    • Excellent problem-solving and analytical skills
    • Ability to work both independently and in teams

2023

• https://linkedin.com/jobs/view/genai-engineer-at-msrcosmos-llc-3672477017/
  • QUOTE: We are seeking an AI Chatbot Developer with a strong understanding of GenAI and LLMs (Large Language Models). As a key member of our team, you will be responsible for creating and implementing cutting-edge chatbot solutions powered by OpenAI's API and ChatGPT.
    • Responsibilities:
      • Develop and deploy AI-powered chatbots using GenAI and LLMs to enhance user interactions and customer support
      • Utilize the OpenAI API to integrate ChatGPT into various applications and platforms
      • Collaborate with cross-functional teams to understand business requirements and design chatbot solutions
      • Enhance the chatbot's natural language processing capabilities
      • Monitor and analyze the chatbot's performance
      • Stay up-to-date with advancements in AI, GenAI, and LLMs
      • Troubleshoot and resolve technical issues related to the chatbot's functionality
      • Conduct thorough testing to ensure chatbot accuracy and responsiveness
    • Requirements:
      • Solid understanding of GenAI and LLMs
      • Proficiency in working with the OpenAI API and deploying ChatGPT models
      • Strong programming skills in Python.
      • Experience with Machine Learning libraries and frameworks
      • Proven track record of developing and deploying successful AI chatbots
      • Familiarity with natural language processing techniques, sentiment analysis, and text generation
      • Strong problem-solving skills
      • Excellent communication and collaboration skills
      • Bachelor's or master's degree in computer science, Engineering, or a related field

2023

• https://www.google.com/search?ibp=htl;jobs&q=%22genai+engineer%22+job+description
  • QUOTE: The job highlights specify qualifications and responsibilities for a GenAI Engineer.
    • Qualifications:
      • Bachelor’s degree in Computer Science, Computer Engineering or a technical field
      • At least 6 years of experience designing and building data-intensive solutions
      • At least 4 years of experience programming with Python, Scala, or Java.
      • At least 2 years of experience building, scaling, and optimizing training and inferencing APIs for deep neural networks.
    • Responsibilities:
      • Work as part of an Enterprise AI team.
      • Design and implement key API products and services.
      • Architect, build and deploy APIs and SDKs to access LLMs and Foundation Models (FMs).
      • Design APIs for performance, real-time applications, and scale
      • Develop application-specific interfaces that leverage LLMs and FMs
      • Enable users to build new GenAI capabilities
      • Monitor API access patterns and operational health
      • Design APIs for performance, real-time applications, scale, ease of use and governance automation
      • Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience
      • Enable our users to build new GenAI capabilities
      • Develop tools and processes to monitor API access patterns and operational health
      • Design and implement AI safety and guardrails in the API layer working closely with researchers

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