AI Engineer
Actively Hiring
Full-time Posted about 2 months ago
Responsibilities
- check_circle Design, develop, and scale AI applications end-to-end
- check_circle Prototype, validate, and deliver AI use cases from concept and PoC to production
- check_circle Build Agentic AI and Generative AI solutions using LLMs, RAG, MCP, A2A, and related technologies
- check_circle Integrate AI solutions with vector databases, APIs, cloud platforms, and enterprise systems
- check_circle Explore new AI tools, frameworks, and technologies, and create PoCs to assess their business value
- check_circle Deploy, monitor, and optimise AI solutions on cloud platforms such as AWS, Azure, or GCP
- check_circle Design scalable and reliable AI/ML systems, including model selection, deployment, monitoring, and performance optimisation
- check_circle Ensure proper documentation, compliance, risk management, and security standards
- check_circle Promote ethical, safe, and responsible AI practices across delivered solutions
- check_circle Collaborate with both technical and business stakeholders to translate needs into practical AI solutions
- check_circle Mentor team members and share best practices related to Artificial Intelligence
Basic qualifications
- 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 in 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 both technical and business stakeholders
- Fluency in English (both written and spoken)
Preferred qualifications
- 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
- Private medical care
- Co-financing for the sports card
- Constant support of dedicated consultant
- Employee referral program
Tags & Focus Areas
Ai Ai Engineer Generative Ai