Fullstack Software Engineer (AI/Data Visualization)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Fullstack Software Engineer (AI/Data Visualization): Developing the next generation of Tableau analytics and agentic visualization experiences with an accent on high-performance data rendering and Generative AI integration. Focus on architecting scalable visualization frameworks, optimizing WebGL/Canvas performance, and orchestrating LLM pipelines.
Location: San Francisco, CA or Seattle, WA
Company
(Tableau organization) is driven by a mission to help people see, understand, and act on data through powerful visualization and AI-driven insights.
What you will do
- Architect and develop core visualization components and frameworks for the next-gen Tableau product, ensuring scalability and flexibility.
- Optimize large-scale data rendering using Canvas and WebGL to ensure smooth interactivity and real-time updates.
- Collaborate with UX designers and backend engineers to implement intuitive and visually compelling analytics solutions.
- Design efficient APIs and data-fetching strategies to maximize visualization performance and responsiveness.
- Integrate emerging AI technologies, including LLMs and agent frameworks, to build intelligence experiences for business users.
- Mentor junior engineers and champion engineering best practices, including automated testing and continuous integration.
Requirements
- 6+ years of industry experience building enterprise-grade distributed systems at scale.
- Strong computer science foundation in data structures, algorithms, and software architecture.
- Proficiency in Java, JavaScript, Node.js, and React.
- Experience with SQL, relational schema design, and RESTful APIs.
- Expertise in modern web standards, including HTML5, CSS/SASS, and Web Components (Shadow DOM, Custom Elements).
- Experience orchestrating LLMs and AI services using OpenAI APIs, LangChain, RAG pipelines, and vector databases.
Nice to have
- Familiarity with BI platforms (Tableau) or VizQL concepts.
- Experience with modern Data Lakes and Warehousing providers such as Snowflake or Databricks.
- Deep experience in JavaScript rendering frameworks (Canvas, WebGL, SVG).
- Knowledge of AI reliability practices, including prompt testing, hallucination mitigation, and observability.
Culture & Benefits
- Opportunity to shape the future of data storytelling and analytics.
- Work in a high-innovation environment integrating Generative AI into a global product.
- Culture of technical excellence with a focus on performance, scalability, and software quality.
- Collaborative cross-functional environment working with UX and Product teams.
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