Builds AI-powered features into a SaaS ERP platform for energy firms using Ruby on Rails, LLMs, and cloud services.
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