AWS Bedrock AI Engineer - Remote Work

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

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

AWS Bedrock AI Engineer at BairesDev

As an AWS Bedrock AI Engineer, you will drive the development and integration of advanced intelligent capabilities into our cloud ecosystem. You will spearhead the creation of scalable intelligent systems, ensuring that cutting-edge machine learning capabilities translate into reliable production services.

What You'll Do:

• 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.


• Optimize artificial intelligence workloads for superior performance, cost efficiency, and latency boundaries.


• 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.

What we are looking for:

• 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.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).


• Excellent compensation in USD or your local currency if preferred


• Hardware and software setup for you to work from home.


• Flexible hours: create your own schedule.


• Paid parental leaves, vacations, and holidays.


• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.


• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.