Remote AI Engineer – LLMOps & MLOps Specialist

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

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.