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: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make a real impact in the energy sector with AI.
- Qualifications: 3+ years in software engineering, strong backend skills, and AI/ML experience.
The predicted salary is between 60000 - 80000 £ per year.
AtRemoteStar is currently hiring for one of our clients based in Houston, TX.
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
Ruby on Rails Developer (AI Focused) USA in Cambourne employer: RemoteStar
AtRemoteStar is an exceptional employer, offering a dynamic work environment in Houston, TX, where innovation meets collaboration. As a fast-growing SaaS company in the energy sector, we provide our employees with opportunities for professional growth through hands-on experience with cutting-edge AI technologies and a culture that values pragmatic problem-solving. Join us to be part of a team that is redefining digital transformation while enjoying a supportive atmosphere that encourages creativity and independence.
StudySmarter Expert Advice🤫
We think this is how you could land Ruby on Rails Developer (AI Focused) USA in Cambourne
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Ruby on Rails Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI-driven projects and contributions. This will give potential employers a taste of what you can bring to the table, especially in a fast-paced SaaS environment.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've integrated AI features in past projects. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Ruby on Rails Developer (AI Focused) USA in Cambourne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Ruby on Rails Developer role. Highlight your experience with AI and backend engineering, and don’t forget to mention any relevant projects that showcase your skills in SaaS environments.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your experience aligns with the responsibilities listed in the job description. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any AI-driven features or projects, make sure to include them in your application. We love seeing real examples of your work, especially if they demonstrate your problem-solving skills and builder mindset.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
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 them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about situations where you had to make quick decisions or adapt to fast-moving environments. This role requires a builder mindset, so highlight your ability to turn ideas into working features efficiently.
✨Communicate Clearly
Since you'll need to explain AI concepts to non-technical stakeholders, practice simplifying complex ideas. Use clear, concise language and avoid jargon when possible. This will demonstrate your strong communication skills and ability to collaborate effectively with diverse teams.
✨Understand the Business Context
Research the energy sector and the specific challenges faced by companies in this space. Be ready to discuss how AI can provide real value in operational efficiency and decision-making. Showing that you understand the business side will set you apart from other candidates.
