Full Stack Software Engineer - Frontend Focus

About Us

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

Frontend Development (70%)

• 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

Backend Development (30%)

• 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

Technical Skills

• 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.

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