AI Platform Engineer

Caramel Point; Argentina; A distancia; ARS 1.500.000 - 2.700.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% Remote

Descripción de la vacante

Caramel Point is seeking an experienced AI Platform Engineer to design, build, and evolve scalable AI platforms and LLM-based solutions on AWS. You will implement MCP servers to connect AI applications with tools and services, and deploy serverless solutions using Lambda, API Gateway, and DynamoDB.

The role requires hands-on experience with Bedrock, Terraform or CDK, and CI/CD pipelines, with a focus on security, governance, and reliable production deployments.

Formación

• Experience deploying LLM-based applications in production.
• Strong knowledge of AWS services (IAM, Lambda, API Gateway, DynamoDB).
• Hands-on with RAG, tool calling, and LLM evaluation.

Responsabilidades

• Design and evolve platform capabilities for LLM-based applications.
• Develop and support LLM solutions in production, including RAG and tool calling.
• Build AI solutions using Amazon Bedrock and MCP servers to connect apps with tools.

Conocimientos

LLM applications in production

RAG

Tool calling

AWS engineering

CI/CD

Herramientas

Amazon Bedrock

Terraform

AWS CDK

Git

API Gateway

Descripción del empleo

# AI Platform EngineerArgentina · 100% Remote · ContractorWe are looking for an **AI Platform Engineer** to join our team and work on the development and evolution of secure, scalable AI platforms and LLM-based solutions on AWS.## Technologies & Areas* •LLMs / Generative AI* •RAG* •Tool Calling* •LLM Evaluation* •Amazon Bedrock* •MCP (Model Context Protocol)* •AWS Lambda* •API Gateway* •DynamoDB* •AWS IAM* •Cross-Account Roles* •Security Hub* •CloudTrail* •AWS Config* •IAM Access Analyzer* •Terraform / AWS CDK* •Git / CI/CD* •Automated Testing## Responsibilities* •Design, build, and evolve **platform capabilities for LLM-based applications**.* •Develop and support **LLM solutions in production**, including RAG, tool calling, and output evaluation.* •Build AI solutions and integrations using **Amazon Bedrock**.* •Design and implement **MCP servers** to connect AI applications with tools and services.* •Build and maintain serverless solutions using **AWS Lambda, API Gateway, and DynamoDB**.* •Manage **IAM policies, permissions, and cross-account roles** across AWS environments.* •Apply AWS security, auditing, and governance practices using **Security Hub, CloudTrail, AWS Config, and IAM Access Analyzer**.* •Define and manage infrastructure using **Terraform or AWS CDK**.* •Apply **CI/CD, automated testing, and development best practices**.* •Contribute to the security, scalability, reliability, and continuous improvement of AI solutions in production.## Requirements* •More than **4 years of professional development experience**.* •Experience working with **LLM applications in production**.* •Hands-on experience with **RAG, tool calling, and LLM output evaluation**.* •Strong AWS engineering experience with **IAM, cross-account roles, Lambda, API Gateway, and DynamoDB**.* •Knowledge of **Security Hub, CloudTrail, AWS Config, and IAM Access Analyzer**.* •Experience with **Amazon Bedrock**.* •Experience implementing **MCP servers**.* •Experience with **Terraform or AWS CDK**.* •Experience with **Git, CI/CD, and automated testing**.## Work Details* •**Location:** Argentina* •**Work mode:** 100% Remote* •**Contract:** Contractor