Senior AI Automation Engineer - Remote

BrainOps; EE. UU.; A distancia; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

BrainOps is seeking a mid-level AI engineer to build and maintain autonomous agents and automated workflows. You will work from design through testing and ongoing support, delivering dependable applications built around large language models.

You will collaborate with customers and teammates to identify automation opportunities, design robust solutions, and ensure reliability across APIs, data pipelines, and retrieval systems. This role emphasizes practical AI development and scalable delivery.

Formación

• Experience building applications with large language models.
• Strong Python skills, with practical knowledge of REST APIs and Git.
• Experience with retrieval systems, vector databases, and prompt design.
• Familiarity with agent frameworks and data pipelines.
• Working knowledge of Docker and a document database such as MongoDB.
• A computer science degree; an AI focus is preferred.

Responsabilidades

• Design, implement, test, and maintain agents and workflows.
• Collaborate with customers and colleagues to identify processes suited to automation.
• Build applications using language models, retrieval, and prompt design.
• Integrate services through APIs and connect workflows to data pipelines.
• Help deliver software that meets the reliability expected of an engineering team.

Conocimientos

LLM applications

Python

REST APIs

Git

Retrieval systems

Vector databases

Prompt design

Agent frameworks

Data pipelines

Docker

MongoDB

Educación

Computer science degree

AI focus

Herramientas

Docker

MongoDB

REST APIs

Git

React

Knowledge graphs

Descripción del empleo

BrainOps is seeking a mid-level AI engineer to build and maintain autonomous agents and automated workflows. You will work from design through testing and ongoing support, delivering dependable applications built around large language models.

You will collaborate with customers and teammates to identify automation opportunities, design robust solutions, and ensure reliability across APIs, data pipelines, and retrieval systems. This role emphasizes practical AI development and scalable delivery.