Note: The job is a remote job and is open to candidates in USA. GovWorx is helping public safety rise to today's greatest challenge: the loss of experience. They are seeking an experienced AI Evaluation Engineer to build and improve AI systems for public safety agencies, focusing on evaluation and continuous improvement of production AI systems.
Responsibilities
- Design, build, and maintain automated AI evaluation pipelines for production LLM applications
- Develop prompt engineering strategies and iterate on prompts and compare LLMs using quantitative evaluation methods
- Build offline evaluation datasets and regression testing frameworks to measure AI performance over time
- Analyze production AI behavior using Python, SQL, and statistical techniques to identify opportunities for improvement
- Design experiments, A/B tests, and benchmarking methodologies for evaluating prompt and model changes
- Develop dashboards and reporting that communicate AI quality, reliability, and performance metrics
- Partner with engineering and product teams to safely deploy and monitor improvements to production AI systems
- Investigate model failures through detailed error analysis and recommend improvements to prompts, evaluation datasets, and workflows
- Help establish best practices for Responsible AI, evaluation methodologies, and continuous model improvement
Skills
- Must have US citizenship and pass FBI fingerprint and background check in multiple states
- 3+ years of experience in software engineering, machine learning, data science, or a related technical field
- Experience designing evaluation metrics and interpreting AI model performance
- Understanding of statistical methods including hypothesis testing and experiment design
- Strong Python development experience
- Strong SQL skills with experience analyzing large datasets
- Experience building or supporting production LLM or Generative AI applications
- Experience with prompt engineering and systematic prompt evaluation
- Experience using AI evaluation or observability platforms such as Langfuse, LangSmith, MLflow, or Label Studio
- Experience with AWS services such as Bedrock, Lambda, S3, Glue, or SageMaker
- Experience building dashboards using Tableau, Sisense, Power BI, or similar tools
- Knowledge of Responsible AI principles and evaluation methodologies
Benefits
- Benefits (Health, Dental, Vision)
- Flexible Time Off
- Offers Bonus
Company Overview