AI Engineer @

6 hours ago

Warszawa, Mazovia, Czech Republic Bayer Full time

Required Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
  • Proven experience in AI/ML development with a focus on agent-based systems or enterprise AI integration
  • Strong programming skills in Python and familiarity with AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers)
  • Experience with cloud-native environments (Kubernetes, Docker) and cloud platforms (AWS, GCP, Azure)
  • Understanding of multi-agent systems, natural language processing, and enterprise system architectures
  • Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly

Preferred Qualifications:

  • Experience with autonomous agents, reinforcement learning, and system orchestration
  • Familiarity with CI/CD, GitOps, and infrastructure-as-code (e.g., Terraform)
  • Knowledge of ethical AI and responsible agent design practices

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

For Digital Hub Warsaw, we are looking for:

AI Engineer 

,[Design and implement AI features, agents, and system logic into enterprise technology landscapes, Develop intelligent AI agents capable of autonomous decision-making and task execution across enterprise systems using CoPilot Studio, Google Agentspace, etc., Integrate AI models and frameworks to enable dynamic and context-aware agent behavior., Collaborate with cross-functional teams to define agent roles, capabilities, and interaction protocols, Utilize current AI technologies (e.g., transformer models, reinforcement learning, multi-agent systems) to build scalable AI solutions, Ensure seamless integration of AI agents with enterprise platforms, APIs, and data sources., Develop and maintain system logic that governs agent behavior, coordination, and lifecycle management, Participate in Agile development and contribute to continuous improvement of AI engineering practices, Document agent architectures, system logic, and AI model behaviors for transparency and maintainability] Requirements: Python, AI/ML, Kubernetes, Docker, AWS, GCP, Azure, CI/CD Additionally: Sport subscription, Training budget, Private healthcare, International projects, Canteen, In-house trainings, Modern office.

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