Machine Learning Engineer – Generative AI (AWS Bedrock)

Greymatter Innovationz; United States; A distancia; MXN 696.000 - 942.000; Jornada completa

Descripción de la vacante

Greymatter Innovationz is seeking a Machine Learning Engineer – Generative AI to design, develop, and deploy GenAI solutions in production using Amazon Bedrock. You will build end-to-end AI workloads, implement guardrails, observability, and cost optimization while collaborating with data engineering, software engineering, product, and SRE teams to deliver scalable GenAI capabilities.

This remote contract role offers the chance to influence enterprise data workflows and integrate with multiple

Formación

• Hands-on experience with GenAI and Bedrock.
• Prototyping, deploying and monitoring AI solutions.
• Strong collaboration with data and software teams.

Responsabilidades

• Build and integrate Generative AI solutions using Amazon Bedrock.
• Develop RAG, prompt engineering, and AI agent workflows.
• Integrate AI models with enterprise data sources and APIs.
• Implement evaluation, guardrails, observability and cost optimization.
• Collaborate with Data Eng, Software Eng, Product and SRE teams.
• Support deployment and production operations of scalable AI systems.

Conocimientos

Generative AI

RAG

Prompt engineering

AI agents / agentic workflows

AWS

MLOps

API integration

Enterprise data integration

Herramientas

Amazon Bedrock

Descripción del empleo

Location: Remote

Type: Contract

Compensation: USD $4,000/month

We are looking for a Machine Learning Engineer – Generative AI to design, develop, integrate, and deploy production-ready GenAI solutions using Amazon Bedrock.

Key Responsibilities

• Build and integrate Generative AI solutions using Amazon Bedrock.
• Develop RAG, prompt engineering, and AI agent/agentic workflows.
• Integrate AI models with enterprise data sources and APIs.
• Implement model evaluation, security, guardrails, observability, and cost optimization.
• Collaborate with Data Engineering, Software Engineering, Product, and SRE/RunOps teams.
• Support the deployment and operationalization of scalable AI solutions in production.

Key Requirements

• Strong hands-on experience with Amazon Bedrock.
• Experience with RAG and Prompt Engineering.
• Experience building AI Agents / Agentic Workflows.
• Strong AWS, MLOps, software engineering, and API integration experience.
• Experience integrating GenAI models with enterprise data and APIs.
• Knowledge of model evaluation, security, guardrails, observability, and cost optimization.