Remote AI Engineer: Automation & Developer Tooling

Arcadia Power, Inc.

Santiago

Híbrido

CLP 74.931.000 - 107.308.000

Jornada completa

hace 6 horas
Sé de los primeros/as/es en solicitar esta vacante

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Ventajas ofrecidas por este puesto de trabajo

Remote first
Flexible PTO
11 holidays
10 sick days
Bereavement leave
2 development days
Parental Leave
Medical/dental/vision coverage

Descripción de la vacante

Arcadia Power, Inc. is seeking a hands-on AI Engineer to build the AI Enablement platform and automate operational workflows.

The role focuses on developing Arcadia's software factory, converting manual processes into automated, observable systems, and shipping robust agent-based solutions in production. The ideal candidate ships LLM-backed systems, writes production-grade Python, and collaborates across Zendesk, Jira, Confluence, GitHub, and Snowflake.

Formación

  • Shipped LLM-backed systems into production and kept them running.
  • Proficient in production Python with strong typing, tests, packaging, and error handling.
  • Experience delivering end-to-end delivery paths: branching, code review, CI/CD, releases.

Responsabilidades

  • Build and ship Arcadia's software factory components, from scaffolding and templates to CI patterns.
  • Prototype against build-versus-buy questions with working evidence.
  • Convert manual processes into automated, instrumented workflows with measurable results.
  • Instrument everything shipped: quantify accuracy, failures, and improvements.
  • Integrate agents and automation with Zendesk, Jira, Confluence, GitHub, and Snowflake.

Conocimientos

LLM production
Python
CI/CD
Agent orchestration
English fluency

Herramientas

Zendesk
Jira
Confluence
GitHub
Snowflake

Descripción del empleo

Arcadia Power, Inc. is seeking a hands-on AI Engineer to build the AI Enablement platform and automate operational workflows.

The role focuses on developing Arcadia's software factory, converting manual processes into automated, observable systems, and shipping robust agent-based solutions in production. The ideal candidate ships LLM-backed systems, writes production-grade Python, and collaborates across Zendesk, Jira, Confluence, GitHub, and Snowflake.

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