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Headquartered in Pleasanton, California, Veeva is a leading provider of cloud-based software and services for the life sciences industry. As an employer, Veeva
AI Data Engineer
Location
Canada
Posted
172 days ago
Salary
$85K - $225K / year
Seniority
Senior
Job Description
AI Data Engineer
Veeva
• Evaluation Strategy & Planning: Define and establish comprehensive evaluation strategies for new AI Agents. Prioritize the integrity and coverage of test data sets to reflect real-world usage and potential failure modes • LLM Output Integrity Assessment: Programmatically and manually evaluate the quality of LLM-generated content against predefined metrics (e.g., factual accuracy, contextual relevance, coherence, and safety standards) • Creating High-Fidelity Datasets: Design, curate, and generate diverse, high-quality test data sets, including challenging prompts and scenarios. Evaluate LLM outputs to proactively identify system biases, unsafe content, hallucinations, and critical edge cases • Automation of Evaluation Pipelines: Develop, implement, and maintain scalable automated evaluations to ensure efficient, continuous validation of agent behavior and prevent regressions with new features and model updates • Root Cause Analysis: Understand model behaviors and assist in the trace and root-cause analysis of identified defects or performance degradations • Reporting & Performance Metrics: Clearly document, track, and communicate performance metrics, validation results, and bug status to the broader development and product teams
Job Requirements
- Data Integrity & Validation: A strong, specialized understanding of data quality principles, including methods for validating datasets against bias, integrity concerns, and quality standards. Ability to craft diverse and adversarial test data to uncover AI edge cases
- Prompt Engineering & Model Expertise: Demonstrated skill in advanced prompt engineering techniques to create evaluation scenarios that test the AI's reasoning, action planning, and adherence to system instructions. Deep knowledge of LLM common failure modes (hallucination, incoherence, jailbreaking)
- Automated Evaluation Implementation: Proficiency in designing and deploying automated evaluation pipelines to assess complex, agentic AI behaviors. Familiarity with quality metrics such as task success rate, semantic similarity, and sentiment analysis for output measurement
- Debugging Agentic Systems: Must be comfortable with the specific challenges of debugging agentic systems, including tracing and interpreting an agent's internal reasoning, tool use, and action sequence to pinpoint failure points
- Programming & Frameworks: Proficiency in Python for developing custom evaluation frameworks, writing scripts, and integrating pipelines with CI/CD systems. Familiarity with standard test automation tools (e.g., Pytest, modern web automation tools)
- Bachelor's degree in Data Science, Machine Learning, Computer Science, or a related field, with experience in Gen AI / LLMs
- High work ethic. Veeva is a hard-working company
- High integrity and honesty. Veeva is a PBC and a “do the right thing” company. We expect that from all employees
- Applicants must have the unrestricted right to work in the United States or Canada. Veeva will not provide sponsorship at this time.
Benefits
- Medical, dental, vision, and basic life insurance
- PTO and company-paid holidays
- Retirement programs
- 1% charitable giving program
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