AI Engineer – LLMOps & MLOps

Caramel Point; Argentina; A distancia; ARS 102.045.000 - 153.068.000; A tiempo parcial

Descripción de la vacante

Caramel Point is seeking an AI Engineer specializing in LLMOps and MLOps for a remote contractor role. You will develop AI solutions based on LLMs and RAG architectures, and drive embedding/chunking strategies in production.

You will implement LLMOps practices, build end-to-end ML pipelines, and work with SageMaker/Bedrock, Lambda, and data services. A strong emphasis on CI/CD, testing, and observability is expected.

Formación

• 3–5 years of professional development experience.
• Experience with LLM applications or RAG systems in production.
• Experience with embeddings, vector databases, and chunking strategies.
• Experience with LLMOps practices, including prompt versioning, evaluation, tracing, and observability.
• Experience with Langfuse or similar tools.
• Experience with MLOps pipelines, model deployment, and monitoring.

Responsabilidades

• Build and evolve applications based on LLMs and RAG architectures.
• Design and optimize embedding, chunking, and retrieval strategies.
• Implement LLMOps practices for prompt versioning, evaluation, tracing, and observability.
• Build and maintain MLOps pipelines for model deployment and monitoring.
• Work with AWS Bedrock, SageMaker, Lambda, and data services.
• Define and manage infrastructure using Terraform or AWS CDK.
• Apply CI/CD, automated testing, and development best practices.
• Contribute to the reliability and continuous improvement of AI solutions in production.

Conocimientos

LLMs/Generative AI

RAG architectures

embeddings & vector databases

Chunking strategies

LLMOps

prompt versioning

observability

MLOps pipelines

SageMaker

Bedrock

Lambda

Terraform

AWS CDK

Git/CI/CD

Automated Testing

Herramientas

Langfuse

AWS Bedrock

AWS SageMaker

AWS Lambda

AWS Data Services

Terraform

AWS CDK

Git

CI/CD

Descripción del empleo

# AI Engineer – LLMOps & MLOpsArgentina · 100% Remote · ContractorWe are looking for an **AI Engineer – LLMOps & MLOps** to join our team and work on the development and evolution of AI solutions based on LLMs and RAG architectures.## Technologies & Areas* •LLMs / Generative AI* •RAG (Retrieval-Augmented Generation)* •Embeddings & Vector Databases* •Chunking & Retrieval Strategies* •LLMOps* •Langfuse or similar* •MLOps* •AWS Bedrock* •AWS SageMaker* •AWS Lambda* •AWS Data Services* •Terraform / AWS CDK* •Git / CI/CD* •Automated Testing## Responsibilities* •Build and evolve applications based on **LLMs and RAG architectures**.* •Design and optimize **embedding, chunking, and retrieval strategies**.* •Implement LLMOps practices for **prompt versioning, evaluation, tracing, and observability**.* •Build and maintain **MLOps pipelines** for model deployment and monitoring.* •Work with AWS services such as **Bedrock, SageMaker, Lambda, and data services**.* •Define and manage infrastructure using **Terraform or AWS CDK**.* •Apply **CI/CD, automated testing, and development best practices**.* •Contribute to the reliability and continuous improvement of AI solutions in production.## Requirements* •Between **3 and 5 years of professional development experience**.* •Experience with **LLM applications or RAG systems in production**.* •Experience with **embeddings, vector databases, and chunking strategies**.* •Experience with LLMOps practices, including **prompt versioning, evaluation, tracing, and observability**.* •Experience with **Langfuse or similar tools**.* •Experience with **MLOps pipelines, model deployment, and monitoring**.* •Experience with **SageMaker or equivalent platforms**.* •Knowledge of **data engineering and AWS services**.* •Experience with **Bedrock, SageMaker, Lambda, and related data services**.* •Experience with **Terraform or AWS CDK**.* •Experience with **Git, CI/CD, and automated testing**.## Work Details* •**Location:** Argentina* •**Work mode:** 100% Remote* •**Contract:** Contractor## Apply for this position+1Are you available to start immediately? \\*