Ruby on Rails Developer, AI Focused

RemoteStar

Ruby on Rails Developer designing AI-powered features for a SaaS company transforming energy management. Collaborating with teams to embed AI functionality and streamline operations in complex systems.

Posted 4/30/2026contractRemote • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsGoKubernetesMicroservicesSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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Hard Skills & Tools

AI integrationbackend engineeringAPIsdistributed systemsAI/ML toolsperformance optimizationrelational databasesmicroservices architectureKubernetesCI/CD pipelines

Soft Skills

problem-solvingbuilder mindsetpragmatic approachindependent workcollaborationcommunicationability to explain AI concepts