Senior AI Engineer
Tasks
- Analyze retrieval vs generation failures
- Build data access layer for agents
- Collaborate across pod and platform teams
- Create regression harnesses for evals
- Design AI agent systems end to end
- Evaluate agent systems with golden datasets
- Implement retrieval strategy and prompt design
- Improve engineering practice with peer review and documentation
- Set technical direction for AI architecture
Perks/Benefits
- Annual company offsite
- Dedicated team offsite
- Health insurance
- Paid time off
- Stock options
- Work from home stipend
- Workplace pension matched contributions
Skills/Tech-stack
AI Agent | AWS | Adversarial Prompt Injection | Agent architecture | Azure | Context Management | Data Generation | Evaluation Frameworks | Generative AI | Golden datasets | LLM | Microsoft Ecosystem | Prompt engineering | Prompt injection | Regression testing | Retrieval-Augmented Generation | Synthetic Data Generation | Synthetic data
Education
N/A
Roles
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