---
title: 'Senior Software Development Test Engineer - AI at Tekion'
canonical: 'https://feeny.ai/job/senior-software-development-test-engineer-ai-tekion-bengaluru-kcc7s9226vct'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Software Development Test Engineer - AI at Tekion

- **Company:** Tekion
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-09
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/tekion/ad70c744-f380-487d-bf42-f4cc3525a49a

## Job description

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 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 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](https://tekion.com/legal/privacy/applicant-and-candidate-privacy-notice).

## About Tekion

## Company Overview
- **One-liner**: Tekion provides an end-to-end, AI-native platform that unifies dealerships, OEMs, and partners for modern automotive retail.
- **Entity Type**: Private (growth stage; $200M growth equity raise in 2024 at a $4B+ valuation)
- **Headquarters**: Pleasanton, California, USA
- **Founded**: 2016
- **Founders**: Jay Vijayan (CEO) and Guru Sankararaman (COO)

## Core Business
- **Primary industries**: Automotive retail technology, cloud-based dealership management, vertical AI.
- **Target customers**: B2B – automotive dealerships (retail groups and independents) and original equipment manufacturers (OEMs).
- **Mission**: To create a connected, convenient, and consistent consumer experience by unifying dealers, OEMs, and partners on a single AI-native platform.

## Products & Services
- **[Automotive Retail Cloud (ARC)](https://www.tekion.com/)**: AI-native operating system for dealerships covering sales, service, parts, accounting, and analytics. SaaS.
- **[Automotive Partner Cloud (APC)](https://www.tekion.com/)**: Next-gen platform for OEMs and partners to integrate and collaborate with the dealer ecosystem. SaaS.
- **[Tekion AI Agents](https://www.tekion.com/)**: Role-aware AI tools including Service Scheduler AI (automates booking), Technician AI (surfaces repairs), and Service Advisor AI (turns notes into customer-facing recommendations). Embedded in the platform.

## Market Standing
- **Valuation**: $4B+ (as of the 2024 growth equity round) [[tekion.com/about-us](https://www.tekion.com/about-us)]
- **Key Metric**: 3,000+ dealerships powered by Tekion; 235M+ annual transactions processed.
- **Notable Investors/Partners**: The specific lead investor for the $200M round is not publicly named in available materials. Key partners include General Motors (OEM), Ken Garff Automotive Group, and a Fortune 500 dealer group (largest in the country). [[tekion.com/about-us](https://www.tekion.com/about-us)]
- **Growth Signals**: Secured $200M in growth equity in 2024; crossed 1,100 ARC dealers in 2024; launched Service AI in 2025; earned recognition from Goldman Sachs Builders & Innovators (2022–2025), Forbes Cloud 100 (2023), and Fast Company Best Workplace for Innovators (2025).

## Competitive Advantages
- **AI-native, unified platform**: Unlike legacy point solutions, Tekion is built on a single data foundation, enabling real-time context across sales, service, accounting, and analytics.
- **Vertical AI specialty**: Purpose-built for automotive with ISO 42001 certification (responsible AI) and trained on dealership/OEM data.
- **High adoption & trust**: Customer approval rate for AI recommendations is 95%, and dealers report additional revenue generated from AI in 2025.
- **OEM certifications**: Certified with all major OEMs.

## Strategic Focus
- Expanding agentic AI capabilities (Service AI launched 2025) to further automate dealership workflows.
- Deepening enterprise partnerships with large dealer groups and OEMs globally.
- Continuing to scale the platform to more dealers and markets worldwide.

## Why Work Here
- **Culture**: Recognized as a Great Place To Work® (2026–2027) and Fast Company Best Workplace for Innovators (2025). Values include "One Team," collaboration, and continuous learning. [[tekion.com/careers](https://tekion.com/careers)]
- **Work flexibility**: Primarily in-person culture at Pleasanton HQ, but some fully remote positions exist in US, Canada, and EMEA. India offices (Bangalore, Chennai) are onsite with flex days. Roles are marked as remote/hybrid/onsite in job listings.
- **Perks**: 100% employer-paid medical/dental/vision, unlimited PTO (varies by role), stock options, flexible time off, wellness programs, recognition culture.
- **Growth & learning**: Tek-Learn program with Udemy, Frontend Masters, skill workshops, AMAs, and fireside chats.
- **Engineering culture**: AI-native, startup environment focused on disrupting automotive retail; described as "Silicon Valley Startup Environment" with a global team.

## Sources
1. [tekion.com](https://www.tekion.com/) – Product overview, platform details, metrics
2. [tekion.com/about-us](https://www.tekion.com/about-us) – Company history, leadership, funding, awards, partnerships
3. [tekion.com/careers](https://tekion.com/careers) – Culture, benefits, work policy, values
4. [linkedin.com/company/tekion](https://www.linkedin.com/company/tekion) – Entity summary and recent updates
5. [tekion.com/job-openings](https://tekion.com/job-openings) – Current job listings (via careers page)

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