Senior AI Engineer (Python)

Coderio, Argentina +4

What you will do

MCP Integrations: Design, build, and maintain Model Context Protocol (MCP) servers and integrations that expose critical data sources and internal applications to AI assistants and agents.
Data Pipelines & RAG: Build sophisticated document-processing pipelines for unstructured first-party research (memos, Excel models, call notes, PDFs, Word). This includes parsing, chunking, metadata/entity tagging, embeddings, and Retrieval-Augmented Generation (RAG).
Data Access Layers: Develop Snowflake plug-ins and data access layers (using SQL, Snowpark, or Cortex) ensuring proper data entitlements, security, and governance.
Cloud & Infrastructure: Provision and manage cloud infrastructure as code (Terraform on AWS) and ship production-grade services (APIs, CI/CD, monitoring, logging).
Business Collaboration: Partner directly with non-technical investment, risk, and operations users to turn complex workflows into reliable AI tools, continuously evaluating output quality.