Senior AI Engineer
Tasks
- Build evaluation pipelines and tooling
- Collaborate with research and product stakeholders on evaluation
- Create dashboards for quality performance and cost
- Define AI platform architecture
- Design evaluation metrics and methodologies
- Develop evaluation systems for AI capabilities
- Establish AI observability standards
- Implement model and system governance practices
- Integrate models into reusable services and SDKs
- Lead testing discipline and reproducible experiments
- Manage prompt management and experimentation workflows
- Mentor engineers through code and design reviews
- Prototype and de risk LLM techniques
- Support responsible AI checks in the platform
- Translate research and LLM developments into platform improvements
Perks/Benefits
- N/A
Skills/Tech-stack
Accuracy | Benchmarking | CI/CD | Cloud infrastructure | Evaluation | Experimentation | F1 | F1-score | Fine Tuning | Language Models | Large Language Models | Machine Learning | Model Governance | Model Integration | Observability | Precisión | Prompt engineering | Python | Recall | Retrieval-Augmented Generation | Statistical significance | Test Set Management | Test set | Vector Stores
Education
N/A
Roles
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