Remote AI Engineer Rails - LLM Features in Production

OnTheGoSystems Ltd.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote environment

Async-friendly work

Fair compensation and great benefits

Job summary

OnTheGoSystems Ltd. is seeking an AI Engineer with deep Ruby on Rails experience to design and deliver AI/LLM-assisted product features. You will integrate LLM APIs into Rails systems, balance AI approaches with robust engineering, and own features end-to-end from design through production.

The role emphasizes production-grade testing, reliability, and security, with a focus on scalable, maintainable software and a strong engineering culture.

Qualifications

• Experience with AI/LLM technologies, not just casual use.
• Strong Ruby on Rails experience, ideally at senior level.
• Good judgment on when to use AI vs simpler engineering.
• Strong backend skills: databases, API design, performance, security.
• Ability to break down ambiguous problems into clear technical solutions.

Responsibilities

• Designing and building AI/LLM-assisted product features.
• Integrating LLM APIs into Ruby on Rails systems.
• Combining AI with business logic, tests, fallbacks, and production safeguards.
• Owning features from technical design to production.
• Improving reliability, accuracy, latency, cost, security, and maintainability.
• Writing and maintaining automated tests (unit, integration, E2E).
• Debugging production issues and improving system behavior over time.

Skills

AI/LLM technologies

Ruby on Rails

Backend development

API design

Testing (unit/integration/E2E)

Tools

CI/CD

AWS

Relational databases

Background jobs

Job description

OnTheGoSystems Ltd. is seeking an AI Engineer with deep Ruby on Rails experience to design and deliver AI/LLM-assisted product features. You will integrate LLM APIs into Rails systems, balance AI approaches with robust engineering, and own features end-to-end from design through production.

The role emphasizes production-grade testing, reliability, and security, with a focus on scalable, maintainable software and a strong engineering culture.