Senior AI-Driven Product Engineer (Remote)

Fine Tune; United States; Remote; USD 130,000 - 160,000; Full time

Job summary

Fine Tune is seeking a Senior Product Engineer to own problems end to end, from ambiguous ideas to shipped solutions. You’ll partner with AI coding agents to shape specs, review outputs, and ensure design quality across Rails/JavaScript stacks.

Remote in the United States with a focus on procurement and finance domains. You will mentor engineers, drive architectural decisions, and collaborate with product and QA to deliver iterative, robust features.

Qualifications

• 5+ years of professional product or software engineering experience.
• Strong proficiency in Ruby and JavaScript/TypeScript with full‑stack frameworks.
• Independently produces clean, tested implementations and debugs complex issues.

Responsibilities

• Own projects from problem definition through delivery and ongoing maintenance.
• Design systems within our architecture with clear boundaries and interfaces.
• Build AI‑driven solutions and review AI‑generated code for correctness.
• Verify behavior against intent and apply security practices.
• Mentor engineers and provide thoughtful code reviews.
• Collaborate with product and QA to turn business needs into scoped work.

Skills

Product/software engineering

Ruby

JavaScript/TypeScript

Full-stack frameworks

AI coding tools

Problem ownership

Software design

Debugging complex issues

Tools

Git

CI/CD pipelines

Infrastructure as code

Hotwire/Stimulus

Cloud platforms

Docker

AI coding tools (Claude Code, Cursor, Copilot)

Job description

Fine Tune is seeking a Senior Product Engineer to own problems end to end, from ambiguous ideas to shipped solutions. You’ll partner with AI coding agents to shape specs, review outputs, and ensure design quality across Rails/JavaScript stacks.

Remote in the United States with a focus on procurement and finance domains. You will mentor engineers, drive architectural decisions, and collaborate with product and QA to deliver iterative, robust features.