At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact—empowering every team member to do their best work.

We’re seeking experienced AI Engineers to join a high-growth fintech prospect focused on back-office workflow automation. This role is an opportunity to design and deploy production-grade AI systems for community banks, mortgage, and insurance institutions while shaping a versátil, modern architecture alongside an accomplished executive team.

What You’ll Be Doing
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.
Ensure compliance-first design, embedding regulatory considerations into every product feature.

What We’re Looking For
Experience: 3–5+ years in AI/ML engineering with a track record of deploying AI into production at scale.
Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph.
Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.
Domain Awareness: Understanding of r

📌 AI Engineer (Colombia)
🏢 Lumenalta
📍 Colombia