About the Role
We are looking for a UI/UX Full Stack Engineer with a passion for creating powerful, intuitive, and data-rich enterprise applications tailored for the process industries—including energy, manufacturing, and industrial automation. In collaboration with data scientists, product managers, and domain experts, you will design and build the next generation of intelligent user experiences that enable complex data exploration, graph-based interaction, and persona-aware workflows. Inspired by platforms from C3.ai, Aveva, AspenTech, Palantir, and Siemens, your work will bring industrial AI and analytics to life for operators, engineers, and executives across multi-tiered organizations.
Key Responsibilities
● Design and implement enterprise-grade full-stack applications that blend data analytics, BI, and AI insights into seamless user experiences.
● Lead UI/UX design and development for user-defined dashboards, adaptive workflows, and domain-specific visualizations.
● Build multi-layered persona-driven interfaces that adapt to organizational roles—from plant operators to corporate executives.
● Develop graph-based interaction models and visual tools that enable exploration of connected data, such as equipment hierarchies, supply chains, or asset relationships.
● Integrate with data pipelines, APIs, and backend systems to surface real-time industrial data and machine learning outputs.
● Translate complex analytical results into intuitive and actionable visual elements (e.g., alerts, KPIs, scenario simulators).
● Ensure high usability and performance of applications across devices and environments, especially in operational settings.
● Collaborate with stakeholders to validate use cases, iterate on designs, and drive feature adoption.
● Maintain engineering quality through testing, CI/CD integration, and agile collaboration.
Required Qualifications
● 6+ years of experience in full-stack or front-end engineering with strong UI/UX sensitivity.
● Proven track record delivering modern enterprise applications with a focus on analytics, decision support, or industrial workflows.
● Expertise in React, TypeScript, modern JavaScript, and visualization libraries (e.g., D3.js, Plotly, ECharts).
● Backend experience with Node.js, Python (FastAPI or Flask), or Java, and integration with REST/GraphQL APIs.
● Familiarity with graph-based UI patterns and libraries (e.g., Cytoscape.js, Sigma.js, Neo4j visual tooling).
● Experience integrating with BI and AI systems, including dashboard frameworks, ML outputs, and embedded analytics.
● Understanding of user-centered design, accessibility, and responsive design principles.
● Knowledge of data handling (structured, semi-structured) and API integration for time-series, events, or industrial telemetry.
● Excellent communication skills and a strong ability to bridge the gap between engineering, design, and domain experts.
Preferred Qualifications
● Prior experience in the process industries, industrial automation, or manufacturing systems.
● Familiarity with multi-tenant, role-based applications supporting enterprise hierarchies.
● Exposure to design systems and frameworks like Material UI, Ant Design, or custom component libraries.
● Understanding of security, auditability, and scalability in enterprise software environments.
● Experience with deployment on cloud-native platforms (AWS, Azure, GCP) and containerized environments (Kubernetes, Docker).
The first interview: 1 hour (Online)
The second interview: 2 hours including coding and architect design (Onsite)
Ontonics Lab 為一家新創公司,
正在建立首個專為流程工業設計的原生 AI 平台,將分散的工廠數據轉化為即時、可解釋的智能,從而驅動數位孿生、預測優化和自主運作。
提供統一的資料基礎、特定領域的 AI 模型和治理機制,確保在產量、品質、能源和安全方面實現持續的投資報酬率,協助製造商加速從 AI 就緒型轉型為 AI 自主型。
以知識為核心,產業深度為差異,專注做對流程製造最有價值的事
我們相信工業的智慧不只源自資料,更來自隱含在製程、設備、品質、能耗與安全中的專家知識。 Ontonics Lab 的使命是把這些知識數位化、模型化、結構化,並讓 AI 能夠真正理解製程的邏輯、限制與風險. 讓 AI 成為工程師的可信賴的夥伴,而不是黑盒子。
AI-Native 工業平台(Industrial AI-Native Platform)
工業 AI 應用(Industrial AI Applications)
工業知識引擎(Knowledge Engines for Industry)
企業級 AI 治理與安全(Enterprise AI Governance & Security)
導入、客製、整合與教育訓練(Professional Services)