Remote AI/ML Engineer — LLMs, RAG & Secure Cloud

RemoteJobsOne; México; A distancia; MXN 3.619.000 - 6.333.000; Jornada completa

Descripción de la vacante

RemoteJobsOne is hiring an AI/ML Engineer for a fully remote role based in Mexico. You will design and deploy AI/ML models using LLMs, RAG, and multi-agent orchestration, ensuring secure, scalable production systems.

You will work with cross-functional teams to build robust data pipelines, REST APIs, and SDK integrations, while adhering to secure coding and DevOps practices. Strong communication is essential.

Formación

• Strong Python programming for AI/ML tasks.
• Production-ready LLM, RAG, and prompt engineering experience.
• Familiar with multi-agent orchestration frameworks.
• Experience with cloud AI services (GovClouds, Vertex AI, Bedrock).
• Data pipelines, ETL, metadata catalogs knowledge.
• CI/CD and secure coding practices.
• Excellent written and verbal communication.

Responsabilidades

• Design, implement, and optimize AI/ML models using LLMs, RAG, and prompts.
• Develop and orchestrate multi-agent systems with LangGraph and LangChain.
• Deploy solutions on secure cloud environments (GovCloud, Vertex AI, Bedrock).
• Build data pipelines, ETL processes, and metadata catalogs.
• Create REST APIs and SDK integrations for data/model access.
• Collaborate with product, security, and engineering teams following CI/CD.
• Document decisions and communicate complex concepts clearly.

Conocimientos

Python

REST APIs

SDK integration

LLMs

RAG systems

Prompt engineering

Multi-agent orchestration

DevOps CI/CD

Herramientas

LangGraph

LangChain

AWS GovCloud

Google GovCloud

Azure IL5+

Vertex AI

AWS Bedrock

Descripción del empleo

RemoteJobsOne is hiring an AI/ML Engineer for a fully remote role based in Mexico. You will design and deploy AI/ML models using LLMs, RAG, and multi-agent orchestration, ensuring secure, scalable production systems.

You will work with cross-functional teams to build robust data pipelines, REST APIs, and SDK integrations, while adhering to secure coding and DevOps practices. Strong communication is essential.