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AI Assisted Engineering Practitioner (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
AI Assisted Engineering Practitioner (AI): Driving the responsible adoption of AI coding assistants across engineering squads while contributing as a hands-on software engineer, with an accent on AI-generated code review, enterprise governance, and developer enablement. Focus on evaluating hallucinations and security risks, defining responsible-use guidelines, tracking adoption and quality metrics, and piloting new AI engineering tools.

Location: Romania; candidates must be based in Cluj-Napoca or Bucharest and work from the office three days per week.

Company

hirify.global is a global software engineering company delivering data, analytics, and AI solutions for clients across industries, including financial services.

What you will do

  • Contribute as an active software engineer on a multi-year capital markets program using AI coding assistants in daily delivery work.
  • Design and deliver enablement sessions on prompting, critical review of AI-generated code, and responsible-use boundaries.
  • Define AI engineering guidelines aligned with information security, data privacy, and intellectual property policies.
  • Track adoption, quality impact, and time-to-feature metrics across engineering squads.
  • Evaluate and pilot AI engineering tools, providing evidence-based recommendations.
  • Collaborate on risk assessments covering data leakage, IP exposure, security issues, and code quality drift.

Requirements

  • At least 3 years of experience as a practicing software engineer, with coding as the primary work activity.
  • Daily hands-on experience with AI coding assistants such as GitHub Copilot, Cursor, or equivalent tools in real projects.
  • Ability to identify hallucinations, security issues, logic errors, and other problems in AI-generated code.
  • Experience or confidence in coaching peer engineers and delivering technical enablement sessions.
  • Understanding of enterprise AI governance, data privacy, intellectual property, and acceptable-use policies.
  • Python or Java as a primary programming language; proficient English at B2+ level required.

Nice to have

  • Advanced prompt engineering, including context-window management, RAG patterns, and tool-use APIs.
  • Experience evaluating AI tools in regulated or IP-sensitive environments.
  • Background in engineering coaching or internal developer tooling.

Culture & Benefits

  • Hybrid work options with this position requiring office attendance three days per week.
  • Vacation, sick pay, health insurance, and time off for state holidays according to local regulations.
  • Coverage of IT certification costs and access to courses, learning platforms, mentoring, and professional development programs.
  • Corporate laptop or BYOD options, mental health support, and technical and everyday workplace assistance.
  • Flexible, people-first environment focused on trust, professional growth, open communication, and mutual respect.

Hiring process

  • CV review followed by an HR interview.
  • Communication and technical assessments covering English and relevant technologies.
  • Interview with the project team and potential client interview preparation.

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