Lumenalta is seeking experienced AI Engineers to design and deploy production-grade AI systems for community banks, mortgage, and insurance institutions, focusing on back-office workflow automation for a high-growth fintech prospect.
Requirements
- Strong backend Python
- expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.)
- familiarity with modern data pipeline tools (Airflow, Spark, Kafka)
- workflow orchestration frameworks such as n8n or LangGraph
- Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.
- Understanding of regulated industries (financial services, insurance, or similar) with the ability to design compliance-aligned models.
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.
- Ensure compliance-first design, embedding regulatory considerations into every product feature.
Other
- 3–5+ years in AI/ML engineering with a track record of deploying AI into production at scale.
- Comfortable working with a lean, high-performing team and influencing technical direction.
- Excels in startup-like environments with flexible, evolving tech stacks.
- 100% Remote
- full-time position requiring a minimum of 40 hours per week, Monday through Friday.
