4 дня назад
Senior Gen AI Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Gen AI Engineer (AI): Designing and building production AI applications and scalable architectures on Azure, with an accent on Python engineering, Salesforce integration, and enterprise AI/ML delivery. Focus on defining API contracts and technical designs, deploying Azure services, coordinating offshore developers, and scaling service-oriented systems.
Location: United States; fully remote, candidates must be based in the US
Company
is recruiting for a Fortune 500 global technology company implementing AI solutions across its business.
What you will do
- Design and build production AI applications in Python, from architecture through implementation.
- Define API contracts, high- and low-level designs, architecture reviews, and technical specifications.
- Build and deploy Azure solutions using Azure Functions, Blob Storage, Web Apps, and Azure AI services.
- Integrate AI capabilities with Salesforce business processes and contribute to Node.js, Angular, and JavaScript application layers.
- Use Databricks and Python ML libraries to deliver AI/ML capabilities in production.
- Lead an offshore development team through technical direction, code reviews, feedback, and delivery support.
Requirements
- Senior-level software engineering experience with deep, hands-on Python and application frameworks.
- Experience designing AI applications and architectures with modern AI and Python tooling.
- Strong solution-design experience covering API contracts, HLD/LLD, architecture reviews, and technical specifications.
- Solid Azure Cloud experience, particularly Azure Functions, Blob Storage, and Web Apps.
- Hands-on Salesforce development experience plus working knowledge of Node.js, Angular 2+, and advanced JavaScript.
- Experience with scalable service-oriented architectures and coordinating offshore developers while continuing to write and review code.
Nice to have
- Experience with Azure AI services and Databricks.
Culture & Benefits
- Fully remote contract engagement for US-based candidates.
- Long-term engagement expected to run for 12 months or more.
- Hands-on engineering role combining technical leadership with substantial individual coding.
- Enterprise-focused applied AI work emphasizing production systems and sound engineering practice rather than research.
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