Fullstack Software Engineer

Fullstack Software Engineer

As a Fullstack Software Engineer, you will act as a key full-stack developer for the Eureka Materials AI product with focus on frontend development. You collaborate closely with product teams, AI algorithm engineers and semiconductor domain specialists to implement interactive interfaces for AI Agent, visualize industry data, and deliver end-to-end intelligent functions covering material search, reverse analysis and AI report generation. You are not required to dive deep into underlying algorithms; your core responsibility is landing AI capabilities with excellent user experience, supported by basic backend development for linkage.

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This is an in-office position based in our Singapore office.

About the Role

We build AI products that help semiconductor professionals search complex knowledge, analyze data, and complete technical workflows.

You will own meaningful product areas end-to-end—from interaction design and frontend architecture to APIs and production delivery. You’ll work closely with product managers, AI engineers, and domain experts, with room to shape technical decisions and introduce better tools where they create clear value.

If you enjoy turning complex technical problems into simple, useful products, this role offers plenty of depth and ownership.

What You’ll Do

Build fast, polished product experiences with React or Vue and TypeScript.

Create AI-native workflows including streaming conversations, knowledge search, agent workflows, reports, and data visualization.

Integrate LLM APIs, RAG, tool calling, agent harnesses, evaluation, and observability.

Develop reliable backend services and APIs using Python/FastAPI/Pydantic or Node.js.

Improve architecture, performance, testing, deployment, and reliability.

Take features from early ideas to production and iterate based on real user feedback.

What We’re Looking For

Strong production experience with React or Vue and TypeScript.

Solid understanding of component architecture, state management, APIs, and frontend performance.

Experience delivering a meaningful feature or product end-to-end.

Ability to build backend APIs with at least one modern server-side stack.

Strong engineering fundamentals, product judgment, and learning ability.

Comfortable working in English.

Bachelor’s degree in Computer Science, Software Engineering, another STEM discipline, or equivalent practical experience.

Two or more years of experience is helpful, but demonstrated technical depth, learning speed, and ownership matter more than tenure.

Typical Stack

React, TypeScript, Python, FastAPI, Pydantic, Node.js, LLM APIs, RAG, agent and evaluation tooling.

We choose technology pragmatically and are open to better approaches when they improve the product, developer experience, or reliability.

Nice to Have

Experience with AI chat, RAG, agents, workflow systems, or prompt tooling.

Experience with SSE, WebSocket, ECharts, AntV, D3, or WebGL.

Experience with B2B SaaS, scientific software, industrial applications, manufacturing, or semiconductors.