At a Glance
- Tasks: Design and implement AI-driven features for a cutting-edge SaaS platform.
- Company: Fast-growing US-based SaaS company transforming energy operations.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with hands-on impact and excellent career advancement potential.
- Why this job: Join a team redefining digital transformation in the energy sector with innovative AI solutions.
- Qualifications: 3+ years in software engineering, strong backend skills, and AI/ML experience.
The predicted salary is between 60000 - 75000 £ per year.
At RemoteStar, we're currently hiring for one of our clients based in Houston, TX.
Years of experience: 3 to 5 years
Location: USA
About Client: A fast-growing US-based SaaS company is transforming how energy firms manage operations. Their end-to-end ERP platform streamlines field data, production, finance, land, and compliance, delivering real-time insights and operational efficiency. With a strong client base and innovative tech, they’re redefining digital transformation in the energy and utilities sector.
You’ll design and implement AI-driven functionality that improves automation and user experience. This includes leveraging LLMs, machine learning models, and modern AI tooling within a production SaaS environment. This is a hands-on role for someone who can move quickly, make pragmatic decisions, and bring AI concepts into real, scalable product features.
Responsibilities
- Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots)
- Integrate LLMs and/or ML models into existing services and workflows
- Evaluate, select, and optimize AI tools, APIs, and frameworks for production use
- Collaborate with Product to translate business problems into AI-driven solutions
- Build and maintain scalable backend services to support AI functionality
- Profile, test, and optimize performance of AI-integrated systems
- Ensure reliability, security, and cost-efficiency of AI components in production
- Contribute to architecture decisions around AI integration and system design
- Partner with engineering teams to embed AI into existing applications without degrading stability
Requirements
- 3+ years of experience as a software engineer in a SaaS or cloud-based environment
- Strong backend engineering experience (RoR and/or Golang preferred)
- Experience integrating APIs and working within distributed systems
- Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar)
- Experience building or integrating AI-powered features into applications (not just experimentation)
- Strong understanding of data flow, system design, and performance optimization
- Experience with relational databases (SQL Server or similar)
- Familiarity with microservices architecture, Kubernetes, and CI/CD pipelines
- Experience deploying applications in Azure or similar cloud environments
- Strong problem-solving skills with ability to work in ambiguous, fast-moving environments
- Builder mindset—someone who can take an idea and turn it into a working feature quickly
- Pragmatic approach to AI (focus on value, not hype)
- Ability to work independently in a contract environment while collaborating closely with internal teams
- Strong communication skills and ability to explain AI concepts to non-technical stakeholders
Preferred
- Experience with prompt engineering, embeddings, or retrieval-augmented generation (RAG)
- Exposure to model evaluation, fine-tuning, or AI performance monitoring
- Experience with event-driven architectures or real-time data processing
- Background in energy, fintech, or other complex data-driven industries
Remote Ruby on Rails Developer (AI Focused) USA employer: RemoteStar
At RemoteStar, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our remote Ruby on Rails Developer role not only provides the opportunity to work with cutting-edge AI technology but also encourages professional growth through hands-on experience in a fast-paced SaaS environment. With a focus on employee well-being and a commitment to redefining the energy sector, we ensure our team members are equipped with the tools and support they need to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Ruby on Rails Developer (AI Focused) USA
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving AI and Ruby on Rails. This gives you a chance to demonstrate your expertise and creativity beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in working with us. Don't hesitate—get your application in today!
We think you need these skills to ace Remote Ruby on Rails Developer (AI Focused) USA
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with Ruby on Rails and any AI/ML tools you've worked with. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in SaaS and how you can contribute to our client's mission. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any projects that involved AI or backend development, make sure to mention them. We love seeing real examples of your work, especially if they relate to the energy sector or SaaS environments.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we’ll keep you updated throughout the process!
How to prepare for a job interview at RemoteStar
✨Know Your Tech Inside Out
Make sure you’re well-versed in Ruby on Rails and any AI/ML tools mentioned in the job description. Brush up on your experience with APIs, distributed systems, and cloud environments like Azure. Being able to discuss specific projects where you've integrated AI features will really impress.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in fast-paced environments. Think about times when you had to make quick decisions or adapt to changes. This role requires a builder mindset, so highlight your ability to turn ideas into working features efficiently.
✨Communicate Clearly
Since you'll be explaining AI concepts to non-technical stakeholders, practice simplifying complex ideas. Use clear, concise language and avoid jargon unless necessary. Good communication can set you apart, especially in a collaborative environment.
✨Research the Company and Its Clients
Understand RemoteStar and its client’s mission in transforming energy operations. Familiarise yourself with their ERP platform and think about how your skills can contribute to their goals. Showing genuine interest in the company will demonstrate that you’re not just looking for any job, but this specific opportunity.
