Ruby on Rails Developer (AI Focused) USA

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 workflowsEvaluate, select, and optimize AI tools, APIs, and frameworks for production useCollaborate with Product to translate business problems into AI-driven solutionsBuild and maintain scalable backend services to support AI functionalityProfile, test, and optimize performance of AI-integrated systemsEnsure reliability, security, and cost-efficiency of AI components in productionContribute to architecture decisions around AI integration and system designPartner 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 environmentStrong backend engineering experience (RoR and/or Golang preferred)Experience integrating APIs and working within distributed systemsHands-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 optimizationExperience with relational databases (SQL Server or similar)Familiarity with microservices architecture, Kubernetes, and CI/CD pipelinesExperience deploying applications in Azure or similar cloud environmentsStrong problem-solving skills with ability to work in ambiguous, fast-moving environmentsBuilder mindset—someone who can take an idea and turn it into a working feature quicklyPragmatic approach to AI (focus on value, not hype)Ability to work independently in a contract environment while collaborating closely with internal teamsStrong 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 monitoringExperience with event-driven architectures or real-time data processingBackground in energy, fintech, or other complex data-driven industries