Ruby on Rails Developer (AI Focused) USA

remotestar-team; Cambourne; On-site; GBP 91,000 - 113,000; Full time

Job summary

RemoteStar is recruiting for a client-based AI engineering role in a fast-moving SaaS environment. You will design and implement AI-powered features, integrating LLMs and ML models into existing services, and optimize AI tooling for production.

The role requires hands-on experience with AI/ML tools, distributed systems, and cloud deployments. You will collaborate with product teams to translate problems into scalable AI-driven solutions while maintaining performance and cost efficiency.

Qualifications

• 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.

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

Backend engineering

RoR

Golang

AI/ML integration

Distributed systems

SQL Databases

Microservices

CI/CD

Cloud deployment

Communication

Tools

Kubernetes

Azure

OpenAI

Anthropic

Hugging Face

APIs

Job description

AtRemoteStar, 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