AI Engineer for Corporate Lending (42336)

The AI Engineer will design, build, and scale AI solutions, working closely with stakeholders to deliver use cases from concept to production. Responsibilities include:

  • 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
Must-have knowledge and 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)