Founding Backend Engineer, AI-Powered Energy Platform

Founding Backend Engineer, AI-Powered Energy Platform

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build a secure, scalable AI-powered energy platform with cutting-edge technology.
  • Company: Join SOLR AI, a pioneer in energy analytics using advanced AI.
  • Benefits: Equity options, strong pension, and comprehensive benefits package.
  • Other info: Collaborate directly with the CTO in a dynamic startup environment.
  • Why this job: Be a founding engineer and shape the future of energy analytics.
  • Qualifications: Experience in backend and data engineering is essential.

The predicted salary is between 70000 - 90000 £ per year.

SOLR AI is transforming energy analytics by applying frontier AI on aerial, geospatial and weather data.

You’ll join as the first founding engineer, directly collaborating with the CTO to build a secure, observable platform capable of onboarding enterprise clients and meeting SLAs.

Expect backend and data engineering focus, shipping production ML and scaling to national-scale data, with equity via EMI options and a strong pension/benefits program.

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Founding Backend Engineer, AI-Powered Energy Platform employer: SOLR AI

At SOLR AI, we are not just building cutting-edge technology; we are pioneering the future of sustainable energy with a culture that values extreme ownership and direct impact. As a Founding Backend Engineer, you will work closely with our co-founder and CTO, shaping the architecture and driving real production milestones in a dynamic environment that prioritises learning and innovation. With competitive compensation, equity options, and a commitment to transparency, we offer a unique opportunity to contribute to meaningful change while growing alongside a passionate team dedicated to tackling the climate crisis.

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Contact Details:

SOLR AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding Backend Engineer, AI-Powered Energy Platform

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SOLR AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SOLR AI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SOLR AI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SOLR AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Founding Backend Engineer, AI-Powered Energy Platform

Backend Engineering
Data Engineering
Machine Learning (ML)
Aerial Data Processing
Geospatial Data Analysis
Weather Data Integration
Security Best Practices

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SOLR AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SOLR AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at SOLR AI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SOLR AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.