Full-Stack Engineer - Front-end Focus (m/f/d) for Jua
Future Energy Ventures
- Zurich
- CDI
- Temps-plein
- A developer-focused API platform designed for integrators and quants to access our prediction models & data products for their daily trading operations. These users care about simple, smart and clean interfaces, low-latency data, and seamless integration via our SDK.
- An AI-native product built for decision-makers like traders and meteorologists who want answers, not just data. Think of a geospatial reasoning layer for planet earth. This product uses agents based on language models to interact with our simulation models to deliver insights and decision support.
- Frontend: TypeScript, React & Tailwind
- Design: Ultra minimalistic, lightweight design system. For some time now, we've entirely skipped the classic Wireframe–Figma–Component workflow and just vibe code most frontend components directly.
- Visualization: ECharts, Three.js, Mapbox, Plotly, Deck. gl for map-heavy and time-series UI
- Backend: Python, FastAPI, WebSockets, gRPC endpoints, little bit of rust, Zarr & Clickhouse SQL db
- ML Interfaces: Real-time inference, model metadata, probabilistic forecasts, & geospatial datasets
- Own and shape full features and products end-to-end to support multiple products, user personas, and evolving data needs by building reusable UI components
- Build intuitive, high-performance UIs for both technical users and decision-makers with a focus on clarity and responsiveness
- Develop rich interfaces for time-series, geospatial, and probabilistic data, turning raw model outputs into decision-support tools
- Collaborate with researchers and engineers to make complex model outputs usable and understandable
- 4+ years of front-end engineering with React and TypeScript
- Strong aesthetic sensibility and user-centered design mindset
- Proven ability to ship fast, accessible, maintainable UIs at a high-quality bar
- A desire to understand domain-specific workflows in energy, weather, or trading, and use that knowledge to build better interfaces
- Exposure to data or ML APIs and eagerness to integrate model outputs into production UIs
- Familiarity connecting React front ends to Python backends (FastAPI, WebSockets, gRPC)
- Experience building products for expert users in domains such as energy trading, quantitative finance, or ML-ops
- You take initiative and drive outcomes. You don't wait for direction. You identify challenges and opportunities, take ownership, and act decisively
- You’re pragmatic and resourceful. You're deeply technical and think clearly under pressure, but you prioritize progress over perfection. You work within constraints, solve real problems, and make smart trade-offs
- You thrive in fast-moving, early-stage environments. You’re energized by rapid iteration and ambiguity. You see uncertainty as a chance to shape products and drive impact without relying on formal product management
- You obsess over the user. You care as much about the “why” as the “how,” and you want to build tools people truly love to use
- Own and ship fast. Work in a product culture where engineers drive decisions, move from idea to production quickly, and see their impact in days, not quarters.
- Join a mission-driven company. Apply cutting-edge ML to global climate and energy challenges, an impact-first alternative to profit-only tech or finance roles.
- Work on groundbreaking technology. Be at the forefront of weather forecasting and machine learning, contributing to innovations that push boundaries.
- Collaborate in a high-agency team. Pair with experienced engineers and researchers in a hybrid environment that balances flexibility with in-person work.
- Shape a meaningful industry. Build solutions for the energy-trading sector, using AI to drive real-world change and influence the future of global markets.