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Staff Software Development Test Engineer - AI Evaluation

Tekion·Worldwide·Bangalore HQ·senior
mlllm
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ABOUT TEKION: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. About the Role We are looking for a highly motivated Senior SDET – AI Evaluation to join Tekion’s AI Platform team. Evaluation is the backbone of trustworthy AI: as Tekion scales from a handful of AI agents to 100+ across Service, Sales, F&I, and Analytics, this role builds the evaluation platform and frameworks that let every ML team measure, trust, and improve the quality of AI outputs.In this role, you will be responsible for defining and building Tekion’s AI evaluation capabilities as a shared platform service. You will work closely with ML Engineers, Data Scientists, the AI Platform team, and Product Management to design evaluation datasets, automated scoring pipelines, and quality metrics that quantify the accuracy, consistency, and safety of AIgenerated outputs across the organization. You will own the systems that answer “is this model or agent good enough to ship, and is it staying good in production?” — from offline benchmarks and LLM-as-judge pipelines to online evaluation and continuous quality monitoring. You will also use AI and LLMs to scale e

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