Senior Software Development Test Engineer - AI

About the Role
We are looking for highly motivated Senior AI Software Development Engineers in Test (AISDET) to join Tekions ML Engineering team. Our team builds and ships the machine learning
models and AI agents that power the Automotive Retail Cloud (ARC) from Service AI Agents and F&I automation to the AI-powered Analytics Agent trained on real-time data spanning 1,700+ dealership rooftops.
In this role, you will be responsible for building confidence in the quality, correctness, and reliability of the models and AI agents we deliver. You will work closely with ML Engineers, Data
Scientists, the AI Platform team, Product Management, and Applied AI teams to define robust validation strategies, automate testing across the model lifecycle, and ensure our AI features meet the highest quality bar before they reach dealers and their customers.Because you are testing AI systems, you will go beyond deterministic assertions: you will design
evaluation frameworks for non-deterministic model and agent outputs, measure accuracy and consistency, catch hallucinations and regressions, and continuously expand coverage. You will also use AI and LLMs yourself to generate test cases, synthetic data, and automation scaffolding raising both the speed and the depth of quality engineering.


What Youll Do

• Develop a deep understanding of Tekions AI agents, ML models, business domains, and the data that feeds them.
• Own end-to-end quality for the ML models, AI agents, and AI-powered features shipped by the ML Engineering team.
• Design and implement automated testing frameworks for model inference, prompt pipelines, agentic workflows, RAG/retrieval systems, and the APIs that serve them.
• Validate model correctness, accuracy, latency, and behavioral consistency across model versions, prompt changes, and upgrades.
• Define and execute evaluation strategies for AI/LLM-powered capabilities by:
• Creating and curating evaluation datasets (evals) and ground-truth sets
• Measuring response accuracy, relevance, and consistency
• Identifying hallucinations, unsafe outputs, and edge cases
• Building LLM-as-judge and automated scoring pipelines
• Continuously improving evaluation coverage as models and agents evolve
• Use AI/LLMs to accelerate quality engineering generating test cases, synthetic test data,and automation scaffolding.
• Build regression suites that detect quality drift when models, prompts, embeddings, or training data change.
• Validate integration of ML models and agents into ARC products, including end-to-end flows and fallback behavior.
• Drive root cause analysis for production model and behavioral issues, and partner with ML Engineers on preventive improvements.
• Define quality metrics, guardrails, and automated monitoring to detect model degradation before it impacts customers.
• Champion quality and evaluation engineering best practices across the ML Engineering organization.

What Were Looking For

• 58 years in SDET, quality engineering, or software engineering, with a strong track recordof building test automation frameworks.
• Strong programming skills in Python (preferred for ML tooling) and/or Java, with the ability to write production-quality automation code.
• Hands-on experience testing >Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

  For more information on our privacy practices, please refer to our Applicant Privacy Notice here.