Artificial Intelligence Engineer

4 weeks ago


Plano, Texas, United States Abbott Laboratories company Full time
Job Summary

We are seeking an experienced Artificial Intelligence Engineer to join our team at Abbott Laboratories. As an AI Engineer, you will be responsible for designing, developing, and implementing full-stack solutions that leverage AI technologies to optimize system performance and automation.

Key Responsibilities:

  • Design and develop cutting-edge full-stack applications with an emphasis on integrating AI technologies to optimize system performance, automate processes, and enhance decision-making.
  • Collaborate with cross-functional teams to define the architecture of scalable and reliable systems, focusing on data flow, memory management, and cache optimization while leveraging AI analytics for predictive performance tuning.
  • Work closely with the business to translate requirements into AI-driven system designs that improve operational efficiencies through automation, predictive insights, and intelligent data handling.
  • Lead the development of web applications and services using front-end technologies and back-end frameworks, ensuring seamless integration with AI-driven features.
  • Utilize AI-powered tools to enhance data processing, predictive modeling, and analytics, ensuring optimal system performance and efficiency across the entire stack.
  • Drive engineering and architectural best practices by leveraging AI and LLM technologies to reduce manual interventions, improve workflows, and automate routine processes.
  • Mentor engineers and provide technical leadership on AI integration, full-stack architecture, and development best practices.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 2+ years of experience as a Software Developer/Architect in AI and full-stack development, with a strong focus on system efficiency and optimization.
  • Proven experience in AI integration using frameworks such as TensorFlow, PyTorch, and Scikit-learn, with a focus on automating processes and improving system performance.
  • Extensive knowledge of front-end technologies like React, Bootstrap, Tailwind, and back-end frameworks like Spring Boot and Django, with experience in cloud platforms like AWS.


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