Инженер по ведущей платформе искусственного интеллекта для общения (м/ж/д)
Helle Köpfe Recruiting
Гамбург, Гамбург

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As a specialized recruiting firm, we are hiring on behalf of our client an experienced Tech Lead who will own the technical core of a globally used AI platform.

This is not a research role and not a prototype environment! You will work on a real, revenue-generating product used by millions of users and operating under extreme growth and real production pressure. Your technical decisions directly impact stability, performance, and user experience in live production.

Tasks

  • Actively develop production-level code and take overall technical ownership.
  • Provide technical leadership to a small senior AI team (3–4 engineers).
  • Design the architecture for training, inference, and deployment of language models under high load and real-time requirements.
  • Improve context handling, memory mechanisms, retrieval approaches, and response quality.
  • Define and drive fine-tuning and post-training strategies.
  • Build precise moderation and classification solutions for adult / NSFW content, balancing safety with model quality and user freedom.

Requirements

  • 8+ years of experience in software engineering and/or machine learning.
  • Proven responsibility for AI or LLM systems serving millions of users in production.
  • Strong hands-on experience with Python, PyTorch, and modern LLM frameworks.
  • Practical experience with fine-tuning, data preparation, and model steering.
  • Comfortable working with adult / NSFW content within clearly defined technical and safety boundaries.
  • Based in Europe and able to collaborate reliably within European time zones.

Benefits

  • Fully remote role with long-term perspective.
  • Flexible contract models (B2B or EoR).
  • Salary up to € 200,000 (depending on experience and setup)
  • Additional $ 80,000 in equity (company shares or stock options)
  • 20 days of paid vacation and flexible working arrangements.
  • Budget for professional development, conferences, and learning resources.
  • Modern hardware and access to current AI tools.
  • High degree of autonomy and direct technical impact on a scalable product.

You can expect a focused environment with short decision paths, high pace, and real technical ownership — not a corporate structure.

If you want to build LLM systems that operate under real production pressure and extreme growth, we look forward to your application.

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