Remote GTM AI Engineer: Scale Production AI Agents

Mosaec; Northern (KY); Hybrid; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Mental health coverage

16 weeks paid parental leave

Unlimited PTO

Remote work stipend

Wellness stipend

Professional development budget

Job summary

Customer.io is seeking a GTM AI Engineer to scale and productionize AI agents powering GTM workflows. You will own the alpha-to-production lifecycle, harden prompts and tool calls, and ensure reliability across a fleet used by thousands of users.

You will collaborate with the GTM AI team, implement observability, and manage deployment pipelines on our GCP stack, while applying best-practice AI-native development and QA processes.

Qualifications

• 4+ years in software engineering, platform/infrastructure engineering, or a similarly technical role.
• Comfort with a GitHub PR-and-deploy workflow.
• Cloud hosting experience — Kubernetes, VMs, or equivalent; Google Cloud experience preferred.
• Experience with how agents interact with and edit databases, including some hands-on database administration.
• Familiarity with LLM-based application development: prompt engineering, tool/function calling, evals, and modern agent frameworks.

Responsibilities

• Alpha-to-production ownership — take newly built agents from working v1 to production-ready: write evals, harden prompts and tool definitions, and refactor prototype scaffolding into production-quality code.
• Observability & stability — instrument tracing, logging, and monitoring across the agent fleet to catch regressions.
• Deployment & infrastructure — stand up and maintain pipelines that get agents into users’ hands on our GCP stack.
• Database administration — manage how agents read from and write to databases at scale.
• Fleet maintenance — monitor agent behavior in production, triage issues, and ship improvements.
• Partner with the GTM AI team — enable builders to stay in their scope while you own scale and reliability.
• Bring an outside point of view — identify what was built wrong and propose fixes.

Skills

GTM AI engineering

LLM-based development

Kubernetes

Google Cloud

Database administration

Prompt engineering

Tool calling

Production-grade systems

Tools

Kubernetes

VMs

Google Cloud

Job description

Customer.io is seeking a GTM AI Engineer to scale and productionize AI agents powering GTM workflows. You will own the alpha-to-production lifecycle, harden prompts and tool calls, and ensure reliability across a fleet used by thousands of users.

You will collaborate with the GTM AI team, implement observability, and manage deployment pipelines on our GCP stack, while applying best-practice AI-native development and QA processes.