Remote 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 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