Applied AI & Data Engineer

Nbound is seeking an Applied AI & Data Engineer to build intelligence that turns service-business conversations, schedules, jobs, and outcomes into useful automation and models. The role focuses on developing data pipelines, evaluation systems, machine learning workflows, feedback loops, and reliable product integrations.

Responsibilities:

• 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

Requirements:

• 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