Design and execute test strategies for AI/ML models and agent-driven workflows. Validate model accuracy, reliability, and data integrity; build automated test frameworks; integrate testing into CI/CD; identify AI risks like bias and hallucinations; collaborate cross-functionally to improve reliability and resolve production issues.
At TREND Health Partners, a tech-enabled payment integrity company, our mission is to facilitate collaboration between payers and providers for mutual benefit and waste reduction, ultimately improving access to healthcare. We achieve this by aligning the common goals of payers and providers and fostering collaboration through a shared technology platform and seamless workflows.
Joining TREND Health Partners means becoming a part of a dynamic growing organization that promotes a collaborative and innovative work environment. Our comprehensive compensation package includes competitive salaries, highly valued health insurance, a 401(k) plan with employer match, paid parental leave, and more.
The AI Test Engineer II's primary responsibility is validating the quality, reliability, and safety of AI powered systems across TREND's platform.
The AI Test Engineer II's primary responsibility is validating the quality, reliability, and safety of AI powered systems across TREND's platform.
Role and Responsibilities
• AI Testing & Validation
o Design and execute test strategies for AI/ML models, including functional, regression, and
scenario-based testing
o Validate accuracy, consistency, and reliability of AI-generated outputs (e.g., summaries,
classifications, recommendations)
o Develop test cases for edge cases, model drift, and unexpected behavior scenarios
o Evaluate model performance against defined success criteria and business requirements
• Agent & Workflow Testing
o Test agent-driven workflows (multi-step AI processes, automation pipelines, orchestration
logic)
o Validate interactions between AI agents, APIs, and downstream systems
o Identify failure points in end-to-end AI workflows and recommend improvements
• Data Quality & Integrity
o Validate training, validation, and test datasets for completeness, accuracy, and bias risks
o Perform data validation testing across pipelines to ensure integrity of inputs and outputs
o Partner with Data Engineering to detect anomalies, inconsistencies, and gaps
• Automation & Tooling
o Build and maintain automated test frameworks for AI-enabled systems
o Develop scripts and tools to support repeatable testing of AI outputs at scale
o Integrate testing into CI/CD pipelines to enable continuous validation
• AI Risk & Guardrails
o Help define and validate guardrails for AI systems (accuracy thresholds, explainability, fallback
logic)
o Identify risks related to hallucinations, bias, and model drift
o Partner with Engineering and AI teams to improve reliability and safety
• Collaboration & Continuous Improvement
o Work cross-functionally with Engineering, QA, AI, Product, and Operations teams
o Participate in sprint planning, backlog refinement, and release validation
o Contribute to testing standards, best practices, and documentation
o Support root cause analysis for AI-related defects and production issues
o Design and execute test strategies for AI/ML models, including functional, regression, and
scenario-based testing
o Validate accuracy, consistency, and reliability of AI-generated outputs (e.g., summaries,
classifications, recommendations)
o Develop test cases for edge cases, model drift, and unexpected behavior scenarios
o Evaluate model performance against defined success criteria and business requirements
• Agent & Workflow Testing
o Test agent-driven workflows (multi-step AI processes, automation pipelines, orchestration
logic)
o Validate interactions between AI agents, APIs, and downstream systems
o Identify failure points in end-to-end AI workflows and recommend improvements
• Data Quality & Integrity
o Validate training, validation, and test datasets for completeness, accuracy, and bias risks
o Perform data validation testing across pipelines to ensure integrity of inputs and outputs
o Partner with Data Engineering to detect anomalies, inconsistencies, and gaps
• Automation & Tooling
o Build and maintain automated test frameworks for AI-enabled systems
o Develop scripts and tools to support repeatable testing of AI outputs at scale
o Integrate testing into CI/CD pipelines to enable continuous validation
• AI Risk & Guardrails
o Help define and validate guardrails for AI systems (accuracy thresholds, explainability, fallback
logic)
o Identify risks related to hallucinations, bias, and model drift
o Partner with Engineering and AI teams to improve reliability and safety
• Collaboration & Continuous Improvement
o Work cross-functionally with Engineering, QA, AI, Product, and Operations teams
o Participate in sprint planning, backlog refinement, and release validation
o Contribute to testing standards, best practices, and documentation
o Support root cause analysis for AI-related defects and production issues
Qualifications
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent
experience)
• Experience in QA, testing, or a related engineering role
• Experience testing APIs, data pipelines, or distributed systems
• Strong understanding of software testing principles and test automation
• Experience working in Agile development environment.
• Familiarity with AI/ML concepts (model evaluation, training vs inference, prompt behavior, etc.)
• Experience with test automation tools
• Strong SQL/data validation skills
• Experience working with cloud-based systems (AWS or Databricks preferred)
• Ability to analyze system behavior and identify root causes
experience)
• Experience in QA, testing, or a related engineering role
• Experience testing APIs, data pipelines, or distributed systems
• Strong understanding of software testing principles and test automation
• Experience working in Agile development environment.
• Familiarity with AI/ML concepts (model evaluation, training vs inference, prompt behavior, etc.)
• Experience with test automation tools
• Strong SQL/data validation skills
• Experience working with cloud-based systems (AWS or Databricks preferred)
• Ability to analyze system behavior and identify root causes
Preferred Skills
• Experience testing AI/ML models or data-driven systems
• Experience validating AI-generated outputs or prompt-based systems
• Familiarity with LLMs, agent workflows, or AI-assisted coding tools
• Healthcare or regulated data environment experience (HIPAA, compliance)
• Experience working with CI/CD and DevOps pipelines.
• Experience validating AI-generated outputs or prompt-based systems
• Familiarity with LLMs, agent workflows, or AI-assisted coding tools
• Healthcare or regulated data environment experience (HIPAA, compliance)
• Experience working with CI/CD and DevOps pipelines.
Mental And Physical Demands
• This position will be exposed mainly to an indoor office environment and will be expected to work in or
around computers and printers.
• The nature of the work is sedentary, and the employee will be sitting most of the time.
• Essential physical functions of the job include typing and the repetitive motion to utilize computer
software and hardware continuously throughout the day.
• Essential mental functions of this position include concentrating on analytical tasks, reading
information, and verbal/written communication to others continuously throughout the day.
around computers and printers.
• The nature of the work is sedentary, and the employee will be sitting most of the time.
• Essential physical functions of the job include typing and the repetitive motion to utilize computer
software and hardware continuously throughout the day.
• Essential mental functions of this position include concentrating on analytical tasks, reading
information, and verbal/written communication to others continuously throughout the day.
Related Duties As Assigned
• This job description documents the general nature and level of work but is not intended to be a
comprehensive list of activities, duties, or responsibilities required for this position.
comprehensive list of activities, duties, or responsibilities required for this position.
Consequently, employee’s may be asked to perform other duties as required.
• Employees may also be asked to complete certain compliance requirements set forth by our Business
Partners in the performance of their jobs including but not limited to requests for background and drug
screenings and disclosures of personal health information or personally identifiable information.
Exemptions as provided under the ADA and TITLE VII of the Civil Rights Act will be observed and
followed.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the
functions outlined above.
• Employees may also be asked to complete certain compliance requirements set forth by our Business
Partners in the performance of their jobs including but not limited to requests for background and drug
screenings and disclosures of personal health information or personally identifiable information.
Exemptions as provided under the ADA and TITLE VII of the Civil Rights Act will be observed and
followed.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the
functions outlined above.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Design, build, and ship production-grade agentic AI systems that connect code context with runtime observability. Implement end-to-end LLM systems (prompting, tool calling, retrieval, memory, agents), define evaluation metrics and datasets, integrate with development workflows and Dynatrace, set technical strategy, mentor engineers, and own monitored production systems.
Top Skills:
Agentic Ai/AgentsAWSDynatraceGoGCPIdesLarge Language Models (Llms)Memory ManagementAzurePromptingPythonRetrieval (Rag)Static AnalysisTool Calling
Cloud • Information Technology • Security • Software
Lead the development of JumpCloud's AI platform, focusing on architecture, AI model integration, and mentoring engineers while ensuring operational excellence and customer satisfaction.
Top Skills:
AIAPIsAWSAzureCi/CdCloud PlatformsGCPInfrastructure As CodeMachine LearningObservability ToolsPlatform Engineering
Fintech • Real Estate • Software • Financial Services • PropTech
Manage the full lifecycle of escrow transactions: order title searches and payoff demands, clear title requirements, coordinate with external title companies and notaries, review closing documents for accuracy, and support escrow officers with file balancing and ledger management while communicating proactively with clients.
Top Skills:
Google SuitesMS OfficeQualia
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



