Hands-on AI Product Engineer for Email App

Talanto; Northern (KY); Hybrid; USD 116,000 - 205,000; Full time

Job summary

Talanto is seeking a Product Engineer, AI Email App, to join a deeply technical, hands-on team that shapes system behavior, evaluation, and user experience for AI-powered workflows. You will work directly with ML and engineering teams to define how the system should behave, how we measure it, and how we continuously improve it.

This is a deeply technical, hands-on role where you are expected to understand the system, challenge technical decisions, and own end-to-end product quality, reliability,

Qualifications

• Strong CS fundamentals and system design skills.
• Solid understanding of modern ML and how AI systems behave in production.
• Comfortable reading technical designs, architectures, and engaging with engineers.
• Strong intuition for model limitations, hallucinations, evaluation, and failure modes.

Responsibilities

• Define end-to-end requirements for AI capabilities, from model behavior to system behavior to user experience.
• Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions.
• Make trade-offs across quality, latency, cost, reliability, safety, and UX.
• Work closely with ML, backend, and client engineers on system design, evaluation, and iteration.
• Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.
• Establish clear quality bars and feedback loops for AI-powered experiences.
• Drive execution through clear specifications, prioritization, and strong technical judgment.
• Identify failure modes and ensure AI systems behave predictably and recover gracefully.
• Own product quality end-to-end, correctness, reliability, usefulness, and user trust.

Skills

Computer science fundamentals

System design

ML in production

LLM-based AI products

Prompting & evaluation

Job description

Talanto is seeking a Product Engineer, AI Email App, to join a deeply technical, hands-on team that shapes system behavior, evaluation, and user experience for AI-powered workflows. You will work directly with ML and engineering teams to define how the system should behave, how we measure it, and how we continuously improve it.

This is a deeply technical, hands-on role where you are expected to understand the system, challenge technical decisions, and own end-to-end product quality, reliability,