Remote Senior AI Engineer for Production-Grade FinTech

Lumenalta

Colombia

Remote

COP 282,912,000 - 377,216,000

Full time

3 days ago
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Job summary

Lumenalta seeks experienced AI Engineers to join a high-growth fintech team focused on back-office workflow automation. You will design and deploy production-grade AI systems for community banks, mortgage, and insurance institutions, while shaping a flexible, modern architecture with an executive team.

The role is 100% remote, open to LATAM-based candidates, with at least a 6-hour overlap with core US business hours to ensure effective collaboration.

Qualifications

  • 3–5+ years of AI/ML production experience.
  • Strong backend Python and ML framework experience.
  • Experience with regulated industries and compliance-aware modeling.
  • Experience deploying AI in production at scale.

Responsibilities

  • Design, build, and deploy AI models into production (not just prototypes or wrappers).
  • Develop and maintain backend Python services that power intelligent automation workflows.
  • Implement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks and monitoring.
  • Train and optimize models on banking rules, compliance standards, and regulatory datasets.
  • Build intelligent routing systems (e.g., auto-approval for simple loans/accounts, escalation to humans for complex cases).
  • Collaborate with engineering leadership to shape architecture, delivery models, and stack decisions.

Skills

Backend Python
TensorFlow
PyTorch
Scikit-Learn
Airflow
Spark
Kafka
n8n
LangGraph

Tools

Airflow
Spark
Kafka
n8n
LangGraph

Job description

Lumenalta seeks experienced AI Engineers to join a high-growth fintech team focused on back-office workflow automation. You will design and deploy production-grade AI systems for community banks, mortgage, and insurance institutions, while shaping a flexible, modern architecture with an executive team.

The role is 100% remote, open to LATAM-based candidates, with at least a 6-hour overlap with core US business hours to ensure effective collaboration.

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