AI Engineer

The AI Engineer will design, build, and scale AI solutions, working closely with stakeholders to deliver use cases from concept to production.
  • Master Degree in Computer Science, Engineering, Data Science, or equivalent
  • 5+ years building and deploying Machine Learning/AI solutions in production
  • Strong Python skills and scalable system development experience
  • Hands-on with Agentic AI (e.g., LangGraph, CrewAI, AutoGen)
  • Experience with Generative AI (LLMs, RAG, MCP)
  • Strong AI/ML system design skills (model selection, deployment, monitoring)
  • Cloud experience (AWS, Azure, or GCP)
  • Proven track record from idea → PoC → scalable product
  • Strong communication with both technical and business stakeholders


Nice-to-have knowledge and experience:

  • Experience with A2A protocols and multi-agent systems
  • Knowledge of agent testing, monitoring, and reliability
  • Understanding of AI safety, alignment, and ethics
  • Familiarity with EU AI regulations
  • Experience in regulated industries (e.g., banking, finance)

See also

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