Senior AI Application Engineer - Cloud-Native Solutions

Harris Teeter

Maine

On-site

USD 80,000 - 90,000

Full time

3 days ago
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Job summary

Aurora is seeking an AI Application Engineer to build secure, customer-facing applications on our modern platform. This role will transform proven legacy products into cloud and web-based experiences, embedding intelligent capabilities where they deliver value.

The AI Application Engineer will translate customer needs into working solutions, collaborating across product, architecture, engineering, and domain teams.

Qualifications

  • Bachelor's degree or equivalent in CS/engineering.
  • 8+ years in software development.
  • Proven leadership of software projects from concept to delivery.
  • Strong communication with non-technical stakeholders.

Responsibilities

  • Lead the design, development, and implementation of software solutions that meet project requirements and business objectives.
  • Create scalable and maintainable software systems, ensuring adherence to coding standards, design patterns, and best practices.
  • Mentor and coach junior developers, providing technical guidance, code reviews, and knowledge sharing.
  • Collaborate with product management, QA, and other stakeholders to understand project requirements.
  • Conduct thorough testing of software components to ensure functionality, reliability, and performance.
  • Troubleshoot and debug complex issues in software applications, identifying root causes and implementing solutions.
  • Stay updated on emerging technologies, industry trends, and best practices in software development.

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Programming languages

Job description

Aurora is seeking an AI Application Engineer to build secure, customer-facing applications on our modern platform. This role will transform proven legacy products into cloud and web-based experiences, embedding intelligent capabilities where they deliver value.

The AI Application Engineer will translate customer needs into working solutions, collaborating across product, architecture, engineering, and domain teams.

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