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Salary
$77k – $105k per year
Location
Hybrid (São Paulo, Brazil)
Seniority
Senior · 5+ years exp
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 10, 2026.

Overview
Company
Impact
Profile match
AI construction software for residential remodelers and home builders. Create estimates and takeoffs, manage budgets and projects end to end with an AI Teammate, and keep every project moving with Handoff.

AI Engineer at Handoff

You’ll own how well Handoff’s AI works in production: its quality, speed and cost, across all of our products. When something degrades, you find out why, fix it and explain what happened.

Most of the work is experimentation. You’ll form a hypothesis, test it against evals and real traffic, and ship what the data supports.

What you'll do

  • Own our core AI metrics and the dashboards and alerts behind them.
  • Run experiments on prompts, tools, context and models, from offline evals to controlled rollouts, and decide with data.
  • Build the evals and observability that let the whole team ship AI changes safely.
  • Improve what customers judge us on: accurate outputs, reliable actions and fast answers.
  • Shape the architecture of our agents as the product grows: how context, tools and memory scale.
  • Evaluate new models and providers as they are released, and lead migrations when they are worth it.
  • Work across Handoff’s products and teams, wherever AI quality, speed or cost needs attention.
  • Turn customer-reported AI problems into diagnosed causes and measurable fixes.
  • Share what you learn and raise the bar for AI engineering across the team.

About You

  • You’ve owned an LLM-powered feature or agent in production and can point to a metric you moved.
  • You design experiments carefully and can tell a real improvement from noise.
  • 5+ years of software engineering experience, with strong Python and working knowledge of TypeScript/Node, SQL and cloud-based architectures.
  • Practical experience with agents: tool calling, context management, retrieval and structured outputs, ideally with a framework such as LangGraph.
  • Experience building evals and using tracing tools such as LangSmith, Langfuse or similar.
  • You’re comfortable with ambiguity and switching between problems, and you set your own agenda from the data.
  • You care whether the output is right for the customer, not only whether the model call succeeded.
  • Proven experience working in a startup environment is a must.

What we offer

  • Competitive salary in USD
  • Attractive stock options
  • Unlimited PTO
  • Relocationallowance
  • Top-notch equipment
  • Team offsites around the world!
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