Staff Engineer, R&D AI Tooling

Tern Travel · Remote · United States ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$225k – $250k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Staff level role
  • Fully remote
  • Ruby on Rails
  • AI-native culture
  • Equity included

Tern is reshaping the travel agency industry by providing modern infrastructure for small business advisors. As a Staff Engineer in R&D AI Tooling, you will drive the adoption of agentic development practices across the organization. This position requires hands-on coding alongside the creation of custom agents and workflows that enhance team productivity.

What you'll do

  • Ship production engineering work weekly alongside the rest of the team
  • Build and optimize custom skills and agents for internal workflows
  • Remove bottlenecks in code review to enable autonomous throughput
  • Train and certify engineers on new AI-driven development practices
  • Improve evaluation frameworks and prompt engineering standards

What you'll need

  • Staff or principal background at an AI-native company
  • Proven experience shipping agentic workflows and MCP integrations
  • Public portfolio demonstrating work in agentic patterns or evals
  • Strong judgment in using AI to accelerate development safely
  • Desire to teach and elevate the technical bar for colleagues

Nice to have

  • Experience building developer tooling or internal platforms at scale
  • Background in MCP server development or Claude Code integrations
  • Previous work with Ruby on Rails or comparable technology stacks

Stack

  • Ruby on Rails
  • Hotwire
  • Postgres
  • Heroku
  • Google Cloud Platform
  • BigQuery
  • Hex
  • Claude Code

How you'll work

  • Fully remote position
  • Collaborative pairing and teaching environment
  • Weekly shipping cycle for features

What you get

  • Competitive salary package
  • Equity ownership
  • Comprehensive benefits
  • Supportive and curious team culture

Hiring process

  • Resume screening for specific shipped impact
  • Deep dive into one or two personal projects
  • Practical exercise using AI tools
  • Assessment of ability to improve other engineers