AI Engineer – LLMOps & MLOps

We 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