Senior Ai Quality Developer, Personalization

Job Requisition ID #26WD101776
Position OverviewAt Autodesk, we're exploring new ways to make design and engineering software smarter, more intuitive, and more personal. AI is helping us rethink how millions of people interact with products like AutoCAD, Revit, Autodesk Construction Cloud, and Forma.
Our Personalized Experiences Team works across Autodesk to bring AI, machine learning, and personalization into our products. We collaborate with product teams, experiment with new ideas, and build capabilities that benefit customers across the Autodesk ecosystem.
Responsibilities
Design and implement quality engineering strategies for AI-powered personalization, recommendation systems, LLM applications, retrieval-augmented generation (RAG), and agentic systems
Build and maintain scalable automated functional, integration, API, end-to-end, and performance testing frameworks using TypeScript, Python, Playwright, Puppeteer, Pytest, or equivalent tools across web applications and cloud services
Develop golden datasets, benchmark suites, regression tests, and automated evaluation pipelines for nondeterministic AI behavior, including rubric-based, statistical, and LLM-as-a-judge evaluation methods
Evaluate RAG and personalization systems for retrieval quality, groundedness, relevance, ranking accuracy, consistency, and response quality across different user contexts
Test agentic workflows, including tool selection and execution, multistep orchestration, memory, error handling, authorization boundaries, and end-to-end task completion
Design automated quality checks for modular and distributed systems, including API contracts, integration boundaries, component compatibility, architectural regressions, and service reliability
Integrate automated tests and AI evaluations into CI/CD pipelines, establishing quality gates and release readiness criteria
Collaborate with applied scientists and developers to identify AI failure modes, evaluate security and privacy risks, and improve reliability, performance, observability, and production quality metrics
Champion quality engineering best practices, leverage AI-assisted development tools responsibly, and mentor developers across cross-functional teams
Minimum Qualifications
BS or MS in Computer Science, Software Engineering, or a related field, or equivalent practical experience
6 or more years of professional experience in software engineering, quality engineering, test automation, or related disciplines
Strong hands-on programming experience with TypeScript and Python, including designing and maintaining scalable automated testing frameworks
Experience with browser automation using Playwright, Puppeteer, or equivalent tools, and Python-based testing using Pytest or equivalent frameworks, covering functional, API, integration, and end-to-end testing
Practical experience testing or evaluating AI/ML-powered applications, including LLM-based systems, and developing automated evaluations for correctness, relevance, consistency, and reliability
Understanding of LLMs, embeddings, RAG, and AI agent architectures, including common failure modes, nondeterministic behavior, evaluation datasets, and regression testing approaches
Experience testing complex cloud services, distributed systems, or modular applications, including API contracts, integration boundaries, debugging, and system reliability
Experience with CI/CD pipelines, cloud environments (AWS preferred), performance testing, and production observability using logs, metrics, and traces
Understanding of data validation, security, privacy, and Responsible AI considerations when testing AI-powered systems
Ability to work independently, communicate technical findings clearly, and collaborate effectively with applied scientists, developers, and product partners
Preferred Qualifications
Experience with AI evaluation tools such as DeepEval, Ragas, LangSmith, promptfoo, Braintrust, or similar frameworks, including benchmark design, LLM-as-a-judge, and statistical or human evaluation methods
Experience testing agentic applications built using LangGraph, LangChain, or comparable orchestration frameworks, including adversarial testing and AI safety evaluation
Experience evaluating RAG systems using retrieval metrics, alongside groundedness, faithfulness, and answer quality
Experience with recommendation systems, ranking models, personalization, or search relevance, including offline and online experimentation and A/B testing
Familiarity with MLOps, model monitoring, dataset versioning, data validation pipelines, and production AI evaluation workflows
Experience evaluating AI inference performance, scalability, latency, throughput, and resource utilization in distributed or event-driven systems
Experience testing extensible or plugin-based applications, including API compatibility, SDKs, extension mechanisms, dependency validation, and consumer-driven contract testing
Experience using AI coding agents to develop reliable test automation, mentoring developers, or leading cross-team quality initiatives
Learn More / Plus d'informationMore info about Autodesk Assistant:

About Autodesk / À propos d’AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l’être.
Nous sommes très fiers de notre culture chez Autodesk ;
elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde.
En tant qu’Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !
Salary transparency / Transparence SalarialeSalary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $84,000 and $123,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada, nous offrons un salaire de base entre $84,000 et $123,200. Le salaire est déterminé selon l'expérience professionnelle et l'emplacement du candidat(e), et peut dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure une prime annuelle, des commissions pour les postes de ventes, des attributions d'actions et un ensemble complet d'avantages sociaux.
BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:
In-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.
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