Remote AWS Bedrock AI Engineer | Flexible Hours

BairesDev; Distrito Capital; Remote; VES 105,727,000 - 158,590,000; Full time

Benefits offered by this job

Remote work

USD compensation

Hardware provided

Flexible hours

Parental leave

Vacation & holidays

Job summary

BairesDev is hiring an AWS Bedrock AI Engineer to lead the development and integration of advanced AI capabilities within our cloud ecosystem. You will help build scalable intelligent systems that translate into reliable production services.

You'll design pipelines for deploying and orchestrating large language models, optimize workloads for performance and cost, and work closely with software teams to infuse cognitive capabilities into our platforms. Excellent English is required.

Qualifications

• 5+ years of experience in Software Engineering or AI Engineering.
• Proven expertise in building and deploying generative AI applications using Amazon Bedrock.
• Advanced proficiency in Python programming for developing AI solutions.
• Strong understanding of integrating foundation models and large language models.
• Advanced proficiency in English.

Responsibilities

• Architect and deploy resilient enterprise applications utilizing managed foundation models on cloud infrastructure.
• Design seamless pipelines for integrating, orchestrating, and orchestrating massive language models within software ecosystems.
• Collaborate closely with software engineering teams to embed cognitive capabilities into user-facing platforms.
• Establish robust standards for telemetry, security governance, and model interaction patterns across services.

Skills

5+ years of experience

Bedrock AI

Python

Foundation models

English proficiency

Job description

BairesDev is hiring an AWS Bedrock AI Engineer to lead the development and integration of advanced AI capabilities within our cloud ecosystem. You will help build scalable intelligent systems that translate into reliable production services.

You'll design pipelines for deploying and orchestrating large language models, optimize workloads for performance and cost, and work closely with software teams to infuse cognitive capabilities into our platforms. Excellent English is required.