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7 часов назад

Lead R&D Engineer (AI)

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

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TL;DR

Lead R&D Engineer (AI): Defining and executing R&D roadmap for advanced NLP, LLM, and Agentic AI systems with an accent on multi-agent orchestration, tool integrations, and retrieval-augmented generation. Focus on architecting scalable training workflows, establishing MLOps best practices, and mentoring AI teams to align innovation with business impact.

Location: Poland (Remote/Office, work from home or any office in your country)

Company

Global digital solutions company headquartered in Austin, Texas, contributing to innovative AI research and development projects at the intersection of science, engineering, and creativity.

What you will do

  • Define and execute R&D roadmap for advanced NLP, LLM, and Agentic AI systems
  • Lead development of novel architectures for multi-agent orchestration, tool-use integration, and RAG
  • Drive collaboration with product, engineering, and research teams to align AI with business impact
  • Architect scalable training, fine-tuning, and deployment workflows on cloud and distributed systems
  • Establish MLOps practices, model evaluation, and responsible AI for production deployments
  • Mentor and grow high-performing team of AI engineers and researchers
  • Communicate technical insights and breakthroughs to executives and stakeholders

Requirements

  • 7+ years hands-on in AI/ML, including 3+ years leading R&D and production projects
  • PhD/Master’s in ML, CS, or equivalent senior experience
  • Recognized specialist in NLP/LLMs: training, fine-tuning, RAG, large-scale evaluation
  • Experience designing/deploying Agentic AI: multi-agent, tools, autonomous workflows
  • Proficient in Python, C++/Java; PyTorch, Hugging Face, LangChain, LlamaIndex
  • Vector DBs, retrieval systems, cloud (AWS/GCP/Azure), distributed training, MLOps, Docker/K8s
  • Leadership: mentor teams, present to executives, publications/patents/open-source in NLP/LLMs
  • Committed to AI ethics, fairness, bias mitigation, data security

Culture & Benefits

  • Flexible Workplace: work from home or any office in your country
  • Diverse collaborative team environment
  • Performance-based bonuses and incentives
  • Leadership development programs
  • Recognition via hirify.global Awards and Customer Hero Program

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