Remote Ruby on Rails Developer (AI Focused) USA

The Abbey; Stoke-on-Trent; Hybrid; GBP 53,000 - 75,000; Full time

Job summary

RemoteStar is hiring for a client-based role to integrate AI into a production SaaS platform. You will design and implement AI-powered features, emphasizing automation, recommendations, and copilots within scalable backend services.

The role requires 3+ years in SaaS/cloud environments, strong RoR/Golang, and hands-on AI tooling experience. Expect collaboration with product teams and a pragmatic, fast-moving mindset in a remote-enabled setting.

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).
• Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar).
• Experience integrating APIs and working within distributed systems.

Responsibilities

• Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots).

Skills

Backend engineering

Distributed systems

APIs

Kubernetes

CI/CD

Azure

SQL/Databases

OpenAI / AI tooling

Prompt engineering

Embeddings / RAG

Tools

Ruby on Rails

Golang

Docker

Kubernetes

CI/CD pipelines

Azure

SQL Server

Event-driven architectures

Hugging Face / OpenAI tooling

Job description

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 degradingstabilityRequirements 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 justexperimentation) 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 withinternal teams

• Strong communication skills and ability to explain AI concepts to non-technicalstakeholdersPreferred 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

Job Description

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 userexperience. This includes leveraging LLMs, machine learning models, and modern AI toolingwithin a production SaaS environment. This is a hands‑on role for someone who can move quickly, make pragmatic decisions, andbring AI concepts into real, scalable product features.

Responsibilities

• Design and implement AI-powered features within the platform (e.g., automation,recommendations, copilots)