Senior AI Data Engineer (LATAM)

Location: Remote in Colombia, South America

Base pay: Col$6,000–Col$7,500 per year.

Company

hirify.global is an AI strategy and integration firm building production AI systems for B2B companies in private equity, wholesale lending, real estate, and SaaS.

What you will do

• Design and operate medallion lakehouses and ingestion pipelines across Databricks, Microsoft Fabric, and Snowflake.
• Build production RAG and GraphRAG systems, including document parsing, OCR, chunking, embeddings, hybrid retrieval, reranking, knowledge graphs, indexing, and citations.
• Create governed semantic and metrics layers that align business definitions across data, dashboards, text-to-SQL, and AI agents.
• Build golden datasets, time-aware evaluation splits, tracing, backtesting, and model or retriever quality monitoring.
• Implement access control, row-level security, masking, PII/PHI safeguards, and AI governance while delivering solutions with client IT, finance, and operations leaders.
• Document architecture decisions and contribute reusable pipeline, retrieval, and semantic-layer components to Cadre’s internal library.

Requirements

• 5+ years of data engineering experience, including at least one production medallion lakehouse designed and operated on Databricks or Microsoft Fabric.
• Master’s degree or PhD in Computer Science, Mathematics, Engineering, or a related quantitative field.
• Production experience shipping RAG pipelines, including hybrid retrieval, reranking, chunking, and permission-aware indexing over enterprise documents.
• Experience designing and operating GraphRAG or knowledge-graph retrieval using Microsoft GraphRAG, LightRAG, Neo4j, or equivalent technologies.
• Production orchestration experience with Apache Airflow or Dagster, including dependencies, backfills, retries, alerting, and platform-native schedulers.
• Expert SQL and strong Python and PySpark, with production experience in dbt or platform-native pipelines and ingestion tools such as Fivetran, Lakeflow Connect, Azure Data Factory, Fabric Data Factory, or dlt.
• Experience authoring a semantic or metrics layer and converting business definitions into governed metrics.
• Working ML fluency covering data leakage, time-based validation, class imbalance, precision and recall, and evaluation dataset design with Langfuse, Arize Phoenix, Braintrust, or MLflow.
• Experience building Databricks agents and governed coding-agent workflows using Agent Bricks or Mosaic AI Agent Framework, Claude Code or Codex, MCP, RAG, and text-to-SQL.
• Governance experience with Unity Catalog, Microsoft Purview, or Snowflake RBAC, plus client-facing consulting or forward-deployed experience and professional English fluency.

Nice to have

• Snowflake Cortex, Palantir Foundry ontologies, RDF/OWL knowledge graphs, DSPy prompt optimization, or LoRA fine-tuning of open-weight models.
• Experience with both Databricks and Microsoft Fabric.

Culture & Benefits

• AI-native culture with internal use of AI tools and access to frontier capabilities through Anthropic and OpenAI partnerships.
• Bootstrapped, profitable, fast-growing company with opportunities to move into new teams and initiatives.
• Small team, clear accountability, and limited bureaucracy.

Hiring process

• Submit a resume, LinkedIn profile, contact details, salary expectations in USD, and referral information or N/A.
• Submit a Loom video in English introducing your background and explaining why the role is a good fit.
• Applicants must be physically located in Colombia, South America.