tekion

Senior Software Development Test Engineer - AI

Listed by employer · Checked

Older posting · still listed ·

  • onsite
  • FullTime
  • All Cost Centers
  • Bangalore HQ
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
Stated sponsorship
Not stated
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

1 with evidence8 unclear or unstated
Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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
Read full descriptionShow less description
We are looking for highly motivated Senior AI Software Development Engineers in Test (AISDET) to join Tekion’s 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 You’ll Do Develop a deep understanding of Tekion’s 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 We’re Looking For 5–8 years in SDET, quality engineering, or software engineering, with a strong track record of 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 data-intensive or ML/AI systems — or a strong softwaretesting background with demonstrated ML/LLM fluency. Solid understanding of ML concepts: model training and inference, evaluation metrics (precision/recall, F1, etc.), and the non-deterministic nature of model outputs. Experience designing evaluation frameworks, or working with eval datasets, benchmarks, or LLM-as-judge approaches. Familiarity with LLM/agent concepts — prompting, RAG, embeddings, vector search — and generative failure modes (hallucination, drift, prompt sensitivity). Experience with CI/CD, test orchestration, and API/integration testing. Strong analytical and debugging skills; comfortable performing root cause analysis across model, data, and code layers. Excellent collaboration and communication skills to partner across ML, data, and product teams. Nice to Have Experience with ML/eval tooling such as MLflow, Weights & Biases, LangSmith, Ragas, DeepEval, or provider eval suites. Experience with cloud platforms (AWS/GCP/Azure) and containerized environments (Docker, Kubernetes). Exposure to model observability, drift detection, and production ML monitoring. Experience testing agentic systems, tool use, or multi-step LLM workflows. Prior experience in a high-scale SaaS or data platform environment. Current Tekion Employees: Please apply via the Internal Job Board in Ashby. Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system! 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. Important: Tekion will only contact candidates from an @tekion.com email address or through our applicant tracking system (no-reply@ashbyhq.com). We may also work with authorized recruiting partners from time to time. Tekion and its recruiting partners will never ask you to pay fees or send money for applications, interviews, training, or onboarding. If you receive a message that seems suspicious, please do not respond or share personal or financial information.
Original formatting and links

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 highly motivated Senior AI Software Development Engineers in Test (AISDET) to join Tekion’s 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 You’ll Do

  • Develop a deep understanding of Tekion’s 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 We’re Looking For

  • 5–8 years in SDET, quality engineering, or software engineering, with a strong track record of 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 data-intensive or ML/AI systems — or a strong softwaretesting background with demonstrated ML/LLM fluency.

  • Solid understanding of ML concepts: model training and inference, evaluation metrics (precision/recall, F1, etc.), and the non-deterministic nature of model outputs.

  • Experience designing evaluation frameworks, or working with eval datasets, benchmarks, or LLM-as-judge approaches.

  • Familiarity with LLM/agent concepts — prompting, RAG, embeddings, vector search — and generative failure modes (hallucination, drift, prompt sensitivity).

  • Experience with CI/CD, test orchestration, and API/integration testing.

  • Strong analytical and debugging skills; comfortable performing root cause analysis across model, data, and code layers.

  • Excellent collaboration and communication skills to partner across ML, data, and product teams.


Nice to Have

  • Experience with ML/eval tooling such as MLflow, Weights & Biases, LangSmith, Ragas, DeepEval, or provider eval suites.

  • Experience with cloud platforms (AWS/GCP/Azure) and containerized environments (Docker, Kubernetes).

  • Exposure to model observability, drift detection, and production ML monitoring.

  • Experience testing agentic systems, tool use, or multi-step LLM workflows.

  • Prior experience in a high-scale SaaS or data platform environment.

Current Tekion Employees: Please apply via the Internal Job Board in Ashby.

Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!

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.

Important: Tekion will only contact candidates from an @tekion.com email address or through our applicant tracking system (no-reply@ashbyhq.com). We may also work with authorized recruiting partners from time to time. Tekion and its recruiting partners will never ask you to pay fees or send money for applications, interviews, training, or onboarding. If you receive a message that seems suspicious, please do not respond or share personal or financial information.

Similar roles

All tekion jobs →

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job