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Applied AI & Data Engineer

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Onsite

Applied AI & Data Engineer

nbound

Applied AI & Data Engineer

Skills

SQL QueriesPythonMachine LearningAI

16 days ago

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Important information


Contract type:

Permanent

Location:

Atlanta, IN, USA

Work mode:

Onsite

Published on:

11 October 2026

What they need


Back to open roles

AI & Data / Remote / in Atlanta

Applied AI & Data Engineer

Build the intelligence behind nbound. You will help us turn the conversations, schedules, jobs, and outcomes created by service businesses into useful automation and models that improve the work without hiding how it works.

The opportunity

Own meaningful work for a product people rely on every day.

Apply for this role

Team

AI & Data

Location

Remote / in Atlanta

Compensation Competitive

Work type

Full-time

01 / The role

Work on problems that reach beyond the screen.

Build the intelligence behind nbound. You will help us turn the conversations, schedules, jobs, and outcomes created by service businesses into useful automation and models that improve the work without hiding how it works.

What you’ll own

  • Build data pipelines and evaluation systems around calls, leads, jobs, schedules, and payments
  • Develop and improve models for receptionist workflows, lead qualification, scheduling assistance, and operational recommendations
  • Create feedback loops so real outcomes improve the product over time
  • Work with engineering to put models into reliable, observable product workflows
  • Help define the data practices that make nbound’s models useful, safe, and defensible

What will help you succeed

  • Strong Python and SQL skills with experience working on production data or ML systems
  • Experience evaluating LLM or machine learning workflows with real user outcomes
  • A practical approach to model quality, latency, privacy, and cost
  • Curiosity about how businesses operate in the physical world

Before you apply

Tell us what you have built, how you think, and why this problem matters to you. We care about clear work and honest context.

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