Remote AWS Bedrock AI Engineer — Build Scalable LLMs

BairesDev

Distrito Capital

A distancia

VES 105.171.000 - 184.049.000

Jornada completa

hace 45 horas
Sé de los primeros/as/es en solicitar esta vacante
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

100% remote
USD or local currency compensation
Home office setup
Flexible hours
Parental leave
Mentorship
Global team

Descripción de la vacante

BairesDev is a fully remote tech powerhouse seeking an AWS Bedrock AI Engineer to drive the development and integration of intelligent capabilities in our cloud ecosystem. You will architect scalable systems, design pipelines for large language models, and collaborate with engineering teams to embed cognitive features into production software.

Candidates should have 5+ years in software or AI engineering, deep Python expertise, and proven experience with AWS Bedrock and LLM integration.

Formación

  • 5+ years in software or AI engineering.
  • Proven expertise building generative AI apps with AWS Bedrock.
  • Strong Python proficiency for AI solutions.
  • Experience integrating foundation models and LLMs.

Responsabilidades

  • Architect and deploy enterprise applications on cloud infrastructure.
  • Design pipelines to orchestrate foundation models and services.
  • Optimize AI workloads for performance, cost efficiency and latency.
  • Collaborate with software teams to embed cognitive capabilities.
  • Establish telemetry, security governance and model interaction standards.

Conocimientos

Python
AI Engineering
AWS Bedrock
LLM Integration

Descripción del empleo

BairesDev is a fully remote tech powerhouse seeking an AWS Bedrock AI Engineer to drive the development and integration of intelligent capabilities in our cloud ecosystem. You will architect scalable systems, design pipelines for large language models, and collaborate with engineering teams to embed cognitive features into production software.

Candidates should have 5+ years in software or AI engineering, deep Python expertise, and proven experience with AWS Bedrock and LLM integration.

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