4 часа назад
AI Application Engineer
80 000 - 90 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Application Engineer (AI/cloud software): Building secure, customer-facing applications on Aurora's modern platform by transforming legacy products into cloud and web-based experiences with an accent on intelligent capabilities, scalability, and maintainability. Focus on leading software delivery, designing complex systems, mentoring developers, and troubleshooting reliability and performance issues.
Location: Maine, United States
Salary: $80,000–$90,000 USD per year
Company
supports the development of Aurora's modern platform for secure, customer-facing cloud and web applications.
What you will do
- Design, develop, and implement software solutions aligned with project requirements and business objectives.
- Transform proven legacy products into modern cloud and web-based customer experiences.
- Embed AI-enabled capabilities where they provide meaningful customer value.
- Build scalable, maintainable systems using established coding standards, design patterns, and engineering practices.
- Collaborate with product management, architecture, quality assurance, engineering, and domain teams.
- Test, debug, and resolve complex application issues affecting functionality, reliability, and performance.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of software development experience focused on complex software systems.
- Experience leading software development projects from concept through delivery.
- Expertise in at least one programming language and development framework.
- Strong understanding of software development principles, methodologies, and best practices.
- Strong problem-solving, communication, leadership, and mentoring skills.
Culture & Benefits
- Hands-on collaboration with product, architecture, engineering, domain, and delivery teams.
- Opportunity to establish repeatable AI-enabled engineering patterns and preserve critical product knowledge.
- Technical guidance and knowledge sharing through code reviews and developer mentoring.
- Focus on emerging technologies, industry trends, and modern software development practices.
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