Applied AI Research Engineer
Tasks
- Build production code
- Collaborate with product and engineers to ship reliable features
- Debug data infra model and prompt failures
- Define evaluation rubrics
- Design agent systems
- Design hybrid retrieval and agent patterns
- Design retrieval pipelines
- Design test plans
- Harden LLM systems based on production issues
- Own features end-to-end
- Set rollout criteria
- Set up monitoring
- Write regression tests
Perks/Benefits
- N/A
Skills/Tech-stack
Agents | Debugging | Evaluation | Fine Tuning | Information Retrieval | Language Models | Large Language Models | Machine Learning | Monitoring | Production Engineering | Prompting | Python | Retrieval-Augmented Generation | System design
Education
N/A
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