B2bnetwork
AI Engineer
Job description
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)
