AI Engineer

Responsibilities

• Design, develop, and scale AI applications end-to-end.
• Prototype, validate, and deliver AI use cases from concept and PoC to production.
• Build Agentic AI and Generative AI solutions using LLMs, RAG, MCP, A2A, and related technologies.
• Integrate AI solutions with vector databases, APIs, cloud platforms, and enterprise systems.
• Explore new AI tools, frameworks, and technologies, and create PoCs to assess their business value.
• Deploy, monitor, and optimise AI solutions on cloud platforms such as AWS, Azure, or GCP.
• Design scalable and reliable AI/ML systems, including model selection, deployment, monitoring, and performance optimisation.
• Ensure proper documentation, compliance, risk management, and security standards.
• Promote ethical, safe, and responsible AI practices across delivered solutions.
• Collaborate with technical and business stakeholders to translate needs into practical AI solutions.
• Mentor team members and share Artificial Intelligence best practices.

Requirements

• Master’s degree in Computer Science, Engineering, Data Science, or equivalent.
• 5+ years of experience building and deploying Machine Learning or AI solutions in production.
• Strong Python programming skills.
• Experience developing scalable systems and production-ready applications.
• Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or similar.
• Experience with Generative AI, including LLMs, RAG, and MCP.
• Strong AI/ML system design skills, including model selection, deployment, monitoring, and optimisation.
• Practical cloud experience with AWS, Azure, or GCP.
• Proven track record of delivering solutions from idea through PoC to scalable product.
• Strong communication skills and ability to work effectively with technical and business stakeholders.
• Fluency in English, written and spoken.

Nice to have

• Experience with A2A protocols and multi-agent systems.
• Knowledge of agent testing, monitoring, reliability, and observability.
• Understanding of AI safety, alignment, and ethics.
• Familiarity with EU AI regulations.
• Experience working in regulated industries, such as banking or finance.

Offer

• Private medical care.
• Co-financing for a sports card.
• Constant support of a dedicated consultant.
• Employee referral program.