- Company Name
- Cream Consulting
- Job Title
- AI engineer
- Job Description
-
Job title: AI Engineer
Role Summary: Design, develop, and deploy AI solutions that bridge business needs and cutting‑edge technologies, primarily using Azure OpenAI and related Azure AI services. Lead end‑to‑end AI use‑case lifecycle from concept to production, integrating AI into enterprise systems, and ensuring high quality, secure, and scalable deployments.
Expectations: • Minimum 3 years professional experience in Data Engineering, AI or related fields. • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent (Master’s preferred). • Proficiency in Python, Azure AI services, and API integration. • Experience with Agentic AI frameworks (e.g., OpenAI Agent SDK, MCP Tools). • Knowledge or eagerness to learn DevOps practices, CI/CD pipelines. • Fluent in English and either French or Dutch; additional language competency is a plus. • Strong analytical, communication, and problem‑solving skills.
Key Responsibilities: • Own end‑to‑end AI use‑case development: business analysis, prototyping, solution design, and production deployment. • Engineer prompts and AI agent behavior to maximize performance. • Integrate Azure AI services into existing enterprise workflows and systems. • Document code, architectures, and workflows; maintain system documentation for scalability. • Participate in code reviews, knowledge sharing, and continuous improvement initiatives. • Apply software best practices: security, compliance, performance optimization, and CI/CD. • Stay current on AI/ML trends, experiment with emerging techniques, and incorporate relevant advances into projects.
Required Skills: • Python programming, Azure Machine Learning pipeline development. • Expertise in Azure OpenAI, Azure Cognitive Services, and related AI offerings. • Experience with DevOps and CI/CD for AI projects. • Familiarity with agentic AI frameworks and prompt engineering. • Strong analytical reasoning and problem‑solving ability. • Excellent written and verbal communication. • Ability to collaborate across multidisciplinary teams.
Required Education & Certifications: • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (Master’s preferred). • Microsoft Certified: Azure AI Engineer Associate (preferred, not mandatory).