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9 дней назад

Senior AI Engineer

Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Engineer (AI/LLM): Defining engineering strategy, architecture standards, and AI governance for an AI-native enterprise work operating system with an accent on LLM orchestration, RAG, knowledge systems, and secure AI-driven delivery. Focus on guiding AI adoption across requirements, design, development, testing, deployment, and operations while maintaining quality, traceability, and compliance.

Location: Multiple locations

Company

hirify.global is an international engineering firm with more than 6,000 experts, helping businesses apply AI-native engineering across industries and technology markets.

What you will do

  • Define engineering strategy, architecture standards, and AI governance for an enterprise AI-native work operating system.
  • Shape a platform built around an enterprise registry, connected knowledge graph, and multi-agent workforce.
  • Lead the transition to AI-native engineering practices across requirements, design, development, testing, deployment, and operations.
  • Guide teams in integrating AI into the software development lifecycle while maintaining security, quality, traceability, and compliance.
  • Support enterprise-scale adoption of AI-driven software delivery and integrations with Jira and Confluence data sources.

Requirements

  • Senior-level or principal-level experience in AI engineering and enterprise software delivery.
  • Experience with AI engineering platforms, LLM orchestration, RAG, and knowledge systems.
  • Strong background in CI/CD, DevSecOps, AI governance frameworks, microservices, and event-driven architectures.
  • Experience with Kubernetes and cloud platforms such as Azure, AWS, or GCP.
  • Ability to ensure security, quality, traceability, and compliance across AI-enabled delivery.

Nice to have

  • Familiarity with AI-DLC or similar AI-native delivery frameworks.
  • Experience with LLM evaluation and observability.
  • Background in enterprise SaaS, work management, or collaboration platforms.

Culture & Benefits

  • Equal-opportunity and respectful working environment.
  • International engineering organization with opportunities to work across industries, technologies, and markets.
  • Structured hiring process including a talent call, technical interview, and customer interview for some roles.

Hiring process

  • Submit a CV describing core skills and career interests.
  • Attend a talent call followed by a technical interview.
  • Complete a customer interview for applicable roles before receiving an offer.

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