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AI Engineer – LLMOps & MLOps
Argentina · 100% Remote · Contractor
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