AI Engineer

Role overview

Responsibilities

• check_circle Develop and scale AI applications end-to-end
• check_circle Prototype and validate AI use cases; move from PoC to production
• check_circle Build Agentic and Generative AI solutions (LLMs, RAG, MCP, A2A)
• check_circle Integrate AI with vector databases, APIs, and enterprise systems
• check_circle Explore new AI tools and create PoCs
• check_circle Deploy and monitor solutions on cloud platforms (AWS, Azure, GCP)
• check_circle Ensure proper documentation, compliance, and risk management
• check_circle Promote ethical and responsible AI practices
• check_circle Mentor team members and share best practices around Artificial Intelligence

Basic qualifications

• 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

Preferred qualifications

• 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)