Über
We're seeking a talented Full Stack Software Engineer with a strong frontend focus to join our engineering team. You'll work on our AI-powered data processing platform, building intuitive interfaces for complex document analysis, real-time collaboration, and data visualization workflows. We're a VC-backed, AI-native startup based out of Berkeley, California, building the next generation of industrial AI systems. Our team includes Berkeley AI researchers, ex-FAANG engineers, and product leaders who've scaled frontier software and AI systems at Fortune 10s. We're already working with major US and global players in Oil & Gas, Chemicals, and broader Industrial sectors
and just getting started. Key Responsibilities
Design and implement responsive, performant React applications using TypeScript Build sophisticated UI components with Radix UI and TailwindCSS Develop interactive data visualizations using D3.js, Plotly, and Cytoscape.js Implement real-time collaboration features using WebRTC (Pipecat AI) Create rich text editing experiences with Tiptap and drawing capabilities with TLDraw Optimize application performance and bundle size with Vite Ensure accessibility and internationalization (i18next) across all interfaces Develop and maintain RESTful APIs using FastAPI (Python) or NestJS (Node.js) Implement data models using SQLAlchemy and PostgreSQL Integrate with AI/ML services and LLM workflows (OpenAI, LangChain) Work with vector databases (pgvector) and graph databases (Neo4j) Ensure proper error handling and monitoring with Sentry and OpenTelemetry Required Qualifications
Frontend Expertise: 4+ years of React development with TypeScript Strong understanding of modern React patterns (hooks, context, suspense) Experience with state management solutions (Zustand preferred) Proficiency in CSS-in-JS or utility-first CSS (TailwindCSS) Experience with build tools (Vite, Webpack) and bundling optimization Full Stack Capabilities: Proficiency in Python (FastAPI) or Node.js (NestJS) Experience with PostgreSQL and ORMs (SQLAlchemy, TypeORM) Understanding of RESTful API design and WebSocket communication Familiarity with Docker and containerized deployments Best Practices: Strong testing practices (Vitest, pytest, React Testing Library) Experience with CI/CD pipelines (GitHub Actions) Understanding of observability and monitoring (OpenTelemetry) Commitment to code quality (ESLint, TypeScript strict mode) Nice to Have
Experience with AI/ML integrations and LLM applications Knowledge of document processing and OCR technologies Familiarity with vector databases and semantic search Experience with WebRTC and real-time collaboration features Background in data visualization and scientific computing Experience with graph databases (Neo4j) and GraphRAG concepts What You'll Work On
Interactive Document Analysis:
Build interfaces for AI-powered document parsing, including PDFs, engineering diagrams, and technical documentation Real-Time Collaboration:
Implement WebRTC-based features for live document editing and annotation Data Visualization:
Create sophisticated visualizations for complex data relationships, including network graphs and engineering diagrams AI Integration:
Develop intuitive UIs for interacting with LLM-powered features and managing AI workflows Performance Optimization:
Ensure smooth performance when handling large documents and complex visualizations Our Development Process
Small, focused pull requests following the "one thesis" rule Continuous deployment with staging environment validation Comprehensive code reviews using Graphite Test-driven development with >80% coverage targets Regular refactoring and technical debt management Tech Stack Summary
Frontend:
React 18, TypeScript, Vite, TailwindCSS, Radix UI, Zustand, D3.js, TLDraw, Tiptap Backend:
Python/FastAPI, Node.js/NestJS, PostgreSQL, Neo4j, pgvector, SQLAlchemy Infrastructure:
Docker, GitHub Actions, Azure Blob Storage, OpenTelemetry, Sentry AI/ML:
OpenAI API, LangChain, PyTorch, FAISS, Transformers What We Offer
Opportunity to work on cutting-edge AI and document processing technologies Collaborative environment with focus on code quality and best practices Modern tech stack with room for innovation and experimentation Remote-friendly work environment Continuous learning opportunities in AI/ML and data engineering How to Apply
Email: careers@intuigence.ai Please include: Link to your GitHub profile or portfolio Examples of React applications you've built Any contributions to open-source projects Brief description of a complex frontend challenge you've solved We value diverse perspectives and encourage applications from candidates of all backgrounds.
Sprachkenntnisse
- English
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