QA Engineer - Gen AI
Austin, Texas, United States
USD 135K-260K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering testing best practices
- Automate LLM performance monitoring
- Build tools and dashboards for LLM quality
- Calibrate automated scoring
- Collaborate with ML engineers and product teams
- Curate versioned ground truth datasets
- Design data quality checks
- Design regression test suites for LLM evaluation
- Evaluate structured extraction against ground truth
- Identify LLM failure modes
- Validate model output consistency
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS SageMaker | Amazon EKS | Amazon S3 | Anthropic | CI/CD | Data Quality | Data Validation | Databricks | Datadog | DeepEval | Document processing | F1-score | Fuzzy Matching | Human-in-the-loop | Hypothesis | Information Extraction | Kubernetes | Langsmith | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Numeric Tolerance | OCR | Observability | OpenAI | PDF Processing | PostgreSQL | Precisión | Prompt engineering | Pytest | Python | RAG | Ragas | Recall | Regression testing | SQL | Structured Information Extraction | Table Extraction | The Loop
Education
N/A
Roles
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