Application Guide

How to Apply for AI First - Senior Full Stack Engineer, Experience Team

at Tomorrow.io

🏢 About Tomorrow.io

Tomorrow.io stands out as a climate technology leader that combines massive-scale weather data processing with AI-driven insights to help organizations optimize operations and build climate resilience. Unlike traditional weather services, they build customizable B2B, B2C, and B2D products that directly impact billions of lives worldwide through real-time decision-making tools. Working here means contributing to a platform that literally changes how humanity interacts with weather and climate challenges.

About This Role

This Senior Full Stack Engineer role on the Experience Team focuses on bridging backend AI capabilities with intuitive frontend interfaces for Tomorrow.io's weather platform. You'll be developing React-based user experiences while enhancing Node.js microservices, with the unique twist of integrating AI-powered features using LLMs and automation tools. This role is impactful because you'll directly shape how users interact with the world's largest weather intelligence platform, making complex climate data accessible and actionable.

💡 A Day in the Life

A typical day might involve morning stand-up with the Experience Team to coordinate on user-facing features, followed by developing React components that visualize complex weather data for different user segments. In the afternoon, you could be enhancing Node.js microservices that process real-time weather information, while experimenting with AI tools to automate parts of your workflow or integrate LLM features into the platform. Throughout the day, you'd collaborate with data scientists on AI model integration and with product teams to ensure seamless user experiences across Tomorrow.io's diverse product offerings.

🎯 Who Tomorrow.io Is Looking For

  • A versatile full-stack developer with 5+ years experience who can fluidly switch between React/Redux frontend work and Node.js microservices backend development
  • Someone genuinely excited about AI-powered development tools, willing to experiment with LLM integration and automation to enhance both productivity and product features
  • A problem-solver who thrives in cross-functional collaboration, comfortable working on complex projects that span data infrastructure, AI, and user experience
  • An engineer who embraces change and resourcefulness, understanding that weather technology requires adapting to both technological shifts and real-world climate challenges

📝 Tips for Applying to Tomorrow.io

1

Highlight specific experience with AI tool integration in your projects - mention concrete examples of using LLMs, automation tools, or AI-enhanced development workflows

2

Demonstrate your understanding of scale by discussing projects involving massive data processing or high-traffic applications, since Tomorrow.io handles 'massive amounts of data'

3

Showcase both your React/TypeScript frontend expertise AND your Node.js microservices backend work in equal measure - this role requires true full-stack versatility

4

Research Tomorrow.io's specific products (like their weather intelligence platform) and mention how your skills could enhance their B2B, B2C, or B2D user experiences

5

Emphasize your collaborative approach with specific examples of working across disciplines, as the Experience Team bridges backend logic with frontend experiences

✉️ What to Emphasize in Your Cover Letter

['Your experience integrating AI/ML tools into full-stack applications, particularly any work with LLMs or automation in development workflows', "Specific examples of working on scalable systems that handle large datasets, relevant to Tomorrow.io's 'massive amounts of data' processing", "How you've improved user experience while maintaining robust backend systems, demonstrating your fit for the Experience Team's mission", 'Your adaptability and willingness to experiment with new technologies, especially in the context of weather/climate technology applications']

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • Tomorrow.io's specific products and platforms - understand their weather intelligence offerings and how different users (B2B, B2C, B2D) interact with them
  • Their AI-driven approach to weather forecasting - research how they use machine learning and AI for climate insights beyond traditional meteorology
  • The company's recent news about scaling or new features, particularly any announcements about AI integration or platform expansions
  • The climate tech industry context - understand how weather intelligence fits into broader climate resilience and operational optimization markets

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Technical deep-dive on integrating AI features into a React/Node.js stack - expect questions about practical LLM implementation or AI tool usage
2 System design scenarios involving weather data at scale, likely focusing on microservices architecture decisions for high-volume data processing
3 Cross-functional collaboration scenarios - how you've worked with data scientists, product managers, and other teams to deliver complex features
4 React performance optimization for data-intensive applications, given the need to display complex weather information seamlessly
5 Your experience with and philosophy toward AI-powered development tools - they specifically want engineers who leverage AI to enhance productivity
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Presenting as purely a frontend or backend specialist - this role explicitly requires versatile full-stack capability across both domains
  • Generic AI experience without concrete examples - they want specific familiarity with AI-powered development tools and practical implementation
  • Focusing only on technical skills without demonstrating collaborative, cross-functional experience - the Experience Team works closely across disciplines

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Tomorrow.io!