Job Title: AI Engineer
Employment Type: Full-time
Work Setup: Remote (Must be based in Argentina)
Salary: Up to ARS 4,700,000/month gross

Important Notice: If you apply, please regularly check your email over the next 48 to 72 hours, as we will update you via that medium.

We are looking for an AI Engineer. If you have 3+ years building LLM solutions on Snowflake Cortex, expert-level Python/SQL pipeline skills, and full ownership of MLOps/LLMOps lifecycles, this opportunity is for you.

Our client is a high-quality software factory leveraging the latest disruptive technologies to deliver custom software, outsourcing, and IT consultancy services. Operating with a fully remote, multicultural team, they help global businesses unlock value through cutting-edge solutions. Joining them means shaping next-gen Generative AI products in Snowflake Cortex that drive tangible business impact. Does this sound aligned with your profile?

Responsibilities:
● Design and deploy end-to-end AI/ML solutions using Snowflake Cortex (Cortex Search, Document AI, Fine-Tuning, etc.).
● Integrate LLM models with enterprise data via Snowflake, Snowpark, and external APIs.
● Collaborate on RAG (Retrieval-Augmented Generation) architectures and intelligent agents for internal copilots and chatbots.
● Build MLOps/LLMOps pipelines for model training, versioning, and monitoring.
● Document best practices, internal libraries, and AI accelerators.
● Participate in PoCs with new Cortex AI features and innovation projects.

Requirements:
● Snowflake Cortex AI delivery (3+ years in AI/ML): Proven hands-on work shipping LLM apps on Snowflake using Cortex Search, Document AI, and Snowpark ML, integrating enterprise data and building RAG/agent use cases.
● Production Python/SQL + pipelines: Advanced Python and SQL (pandas, scikit-learn, LangChain/OpenAI) with reliable orchestration using dbt (preferred), Airflow or Prefect, and clean API integrations.
● MLOps/LLMOps ownership: End-to-end model lifecycle—versioning, automated retraining, deployment, and production monitoring.

We look forward to receiving your application and connecting with you soon! Thank you very much!