Ruby on Rails Developer (AI Focused) USA

Summary

RemoteStar is a fast-growing US-based SaaS company transforming how energy firms manage operations. They are seeking a Ruby on Rails Developer to design and implement AI-driven functionality that improves automation and user experience within their ERP platform.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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