Applied AI Research Engineer
Tasks
- Add regression tests
- Build agent based or hybrid AI systems
- Collaborate with product and engineering teams to ship features
- Create evaluation plans and rubrics
- Debug failures across data infrastructure model and prompts
- Design AI features for reliable production
- Design retrieval pipelines
- Develop test plans and rollout criteria
- Harden LLM systems based on incident learnings
- Own features end-to-end
- Set up monitoring for AI systems
- Write production Python code
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Debugging | Evaluation | Fine Tuning | Language Models | Large Language Models | Monitoring | Prompt engineering | Python | Retrieval-Augmented Generation | System design | Testing
Education
N/A
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