About the role

  • Lead the development, deployment, and ongoing optimization of AI and Generative AI solutions
  • Implement engineering best practices to ensure scalability and uptime
  • Track and report on platforms performance and availability metrics
  • Be involved in all stages of the model development lifecycle from design to development, testing, and deployment
  • Design and implement scalable and reliable systems to AI applications
  • Collaborate with software engineers, data scientists, and DevOps teams to design and implement technical designs and solutions
  • Stay up-to-date with new technologies and industry trends, and continuously improve the platform to meet the changing needs of the company

Requirements

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Computer Applications, Information Systems or Information Technology
  • 7+ years of experience in working with AWS Services, Enterprise Architecture best practices, system engineering and security
  • 7+ years of development experience or significant knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operation
  • 5+ years of hands-on experience with Python, AI Frameworks, AIOps
  • Familiarity with Containerization and Orchestration technologies, Sagemaker
  • Strong software troubleshooting, problem solving and system analysis skills
  • Willingness and capability to learn new technologies quickly
  • Experience working with remote teams in a matrixed environment
  • Mentor junior team members and foster a culture of technical excellence

Benefits

  • Health insurance
  • 401(k)
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities

Job title

AI Engineer

Job type

Experience level

SeniorLead

Salary

$116,350 - $191,155 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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