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AI Engineer (Remote)
Lumenalta
Vancouver, CAN
Full Time
Mid
Remote
1 weeks ago
PythonTensorFlowPyTorchScikit LearnAirflowSpark
Free
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About the Role
Lumenalta seeks an experienced AI Engineer to design and deploy production-grade AI systems for fintech back-office workflow automation. You will build backend Python services, implement data pipelines, train models on banking rules, and collaborate with a lean team.
Key Skills for This Role
PythonTensorFlowPyTorchScikit LearnAirflowSpark
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
Requirements
- 3–5+ years in AI/ML engineering with a track record of deploying AI into production at scale
- 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
- 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
- Comfortable working with a lean, high performing team and influencing technical direction
- Adaptability to startup like environments with flexible, evolving tech stacks
Full Job Posting
About the Role
- 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.
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 regulated industries (financial services, insurance, or similar) with the ability to design compliance aligned models
- Collaboration: Comfortable working with a lean, high performing team and influencing technical direction
- Adaptability: Excels in startup like environments with flexible, evolving tech stacks
Salary
- Salary range: CAD 70,000 CAD 200,000 annually, with final compensation determined by qualifications, expertise, experience, and the role's scope.
Location
- This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones.
Benefits
- Flexible working hours in a remote environment
- Health insurance (medical and dental) for T4 Employees
- A professional development fund to enhance your skills and knowledge
- 15 days of paid time off annually
- Access to soft skill development courses
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