AI Engineer
Main mission
Designs, develops, and deploys end-to-end AI systems.
5 key responsibilities
- Design the technical architecture of AI systems based on business needs.
- Develop and integrate models (LLM, classical ML) into real applications.
- Deploy systems in production and ensure their reliability and performance.
- Collaborate with product, data, and business teams to frame use cases.
- Ensure maintenance, monitoring, and continuous improvement of delivered systems.
Key skills
Python, PyTorch, TensorFlow, cloud platforms (AWS, GCP, Azure), LLM and API integration.
What's expected
Deliver AI systems that work in real conditions, not just in demos. Reliability, robustness, and measurable business impact.
Career paths
AI Solutions Architect, AI Lead, AI Product Manager, then AI Director (CAIO).
Openings right now
No opening for this role at the moment.
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