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2 дня назад

Principal AI Engineer (AdTech)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ukraine/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Principal AI Engineer (AdTech): Architecting and implementing production-grade agentic AI systems and RAG pipelines for global AdTech clients with an accent on multi-agent collaboration and orchestrator models. Focus on translating complex business problems into scalable LLM-based solutions and designing custom AI models.

Location: Remote or Hybrid in Latin America, Brazil, Europe, or Ukraine

Company

hirify.global Software's Stellar AdTech Business Unit specializes in innovative Advertising Technology solutions for global leaders and startups since 2008.

What you will do

  • Consult clients during presales to assess AI readiness and translate business visions into actionable technical requirements.
  • Architect multi-agent frameworks using orchestrator agents and MCP-style protocols.
  • Design and implement production-grade AI systems with defined roles, tool access, memory, and safety boundaries.
  • Develop and optimize RAG pipelines, including data ingestion, embeddings, and vector databases.
  • Create and refine custom models through prompt-tuning and LoRA fine-tuning.
  • Prepare technical presales deliverables, including architecture diagrams, risk assessments, and implementation roadmaps.

Requirements

  • 5+ years of experience in AI engineering or related roles.
  • Expertise in designing and building AI-powered systems in production.
  • Strong proficiency in Python and/or TypeScript, API design, and microservices.
  • Practical knowledge of multiple LLM providers (OpenAI, Anthropic) and agentic frameworks.
  • Experience with cloud AI platforms such as AWS Bedrock, Azure OpenAI, or GCP Vertex AI.
  • English: Upper-Intermediate (B2) level required.

Nice to have

  • Experience in the AdTech domain.
  • Experience integrating AI into legacy or enterprise systems.
  • Familiarity with workflow automation tools.
  • Knowledge of DevOps practices, CI/CD, and containerization.

Culture & Benefits

  • Flexible schedule and remote work options.
  • Health and legal support.
  • Access to an active professional community and continuous education.
  • Diverse range of domains and technologies to work with.
  • Outstanding office spaces for those who prefer a hybrid setup.

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