About this role

AI Engineer Ework Group Daily tasks: - Develop and scale AI applications end-to-end - Prototype and validate AI use cases; move from PoC to production - Build Agentic and Generative AI solutions (LLMs, RAG, MCP, A2A)Integrate AI with vector databases, APIs, and enterprise systems - Explore new AI tools and create PoCs - Deploy and monitor solutions on cloud platforms (AWS, Azure, GCP) - Ensure proper documentation, compliance, and risk management - Promote ethical and responsible AI practices - Mentor team members and share best practices around Artificial Intelligence Musts: Python, ML/AI, Generative AI, Cloud experience 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) The AI Engineer will design, build, and scale AI solutions, working closely with stakeholders to deliver use cases from concept to production.

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