Role summary
Build and evaluate applied-AI features that connect models, data and product workflows with clear quality controls.
What you will do
- Develop model-backed services and workflows
- Design test sets, evaluation rubrics and monitoring
- Work with product teams on use-case and risk definition
- Improve latency, cost and reliability
What you need
- Production Python experience
- Understanding of ML or LLM application patterns
- Experience with APIs and data workflows
- Strong experimentation and documentation habits
Preferred experience
- Retrieval-system experience
- Cloud deployment exposure
- Familiarity with responsible-AI review
What the employer offers
- Applied research time
- Conference budget
- Flexible hybrid work
- Health and wellness support
Interview process
- 01
Profile review
- 02
AI systems conversation
- 03
Applied case
- 04
Cross-functional interview
- 05
Decision
