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обновлено 2 дня назад

Senior AI Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Bulgaria/Egypt
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Engineer (AI orchestration and Quality Engineering): Building and extending a unified AI-augmented Quality Engineering framework with an accent on agentic frameworks, MLOps, Governance-as-Code, CI/CD, and test data management. Focus on implementing self-healing automation, reusable AI-assisted testing capabilities, dynamic regression execution, and AI-assisted performance and load testing.

Location: Cairo, Egypt; Ruse and Sofia, Bulgaria

Company

Avenga provides business and technology advisory, enterprise solutions, customer experience, UX and UI design, managed services, product development, and software development through a global team of more than 6,000 specialists.

What you will do

  • Extend automation frameworks with AI-enabled capabilities and contribute to a unified AI-augmented Quality Engineering framework.
  • Develop reusable prompts, instruction sets, orchestration patterns, and shared automation components for AI-assisted test generation.
  • Implement MCP-based enterprise integrations, including GitHub Copilot and approved MCP connectors.
  • Build governed AI workflows, Governance-as-Code, versioned policy artifacts, and controlled self-healing automation for UI, API, and database changes.
  • Integrate the framework with Jenkins and GitHub Actions, supporting dynamic regression selection, parallel execution, centralized reporting, and quality metrics.
  • Develop synthetic test data capabilities and AI-assisted performance and load testing, including Locust-based scenarios, scripts, payloads, and reusable test data.

Requirements

  • Senior-level software engineering and programming skills, preferably with Python.
  • Hands-on experience with AI orchestration and agentic frameworks such as MCP, LangChain, Semantic Kernel, or similar technologies.
  • Experience working with AI models, AI-assisted development tools such as GitHub Copilot, and AI-assisted testing or self-healing automation.
  • Good understanding of MLOps, Governance-as-Code, PromptOps, versioned instruction sets, prompt templates, policy rules, and reusable AI artifacts.
  • Experience with CI/CD using Jenkins and/or GitHub Actions.
  • Experience with synthetic test data generation and Test Data Management.

Culture & Benefits

  • Work environment built around trust, support, empowerment, and professional growth.
  • Values include Better Minds, Bolder Ideas, and Bigger Hearts.
  • Equal opportunities in recruitment, career development, and leadership.
  • Inclusive workplace where diverse backgrounds and experiences contribute to the organization’s growth.

Hiring process

  • Submit a CV describing core skills and career goals.
  • Attend a talent call followed by a technical interview.
  • Some roles include a customer interview before the offer.

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