AI Engineer (Remote)

Job summary

Design, build, and deploy production-grade AI models and backend Python services for fintech workflow automation. Implement enterprise-scale data pipelines and intelligent routing systems while ensuring compliance with financial regulatory standards.

Job details

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 flexible, 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 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. Why Lumenalta is an amazing place to work at At Lumenalta, you can expect that you will: Be 100% dedicated to one project at a time so that you can innovate and grow. Be a part of a team of talented and friendly senior-level developers. Work on projects that allow you to use leading tech. The job is 100% Remote; please ensure you have a comfortable office set at your desired work location. 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 to ensure effective collaboration with client and team schedules. Benefits In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: 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 to further your career. Position Details This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday. Application Deadline Applications will be accepted until September 20th, 2026. Candidates can expect feedback by September 28th, 2026.

What you’ll do

Design, build, and deploy production-grade AI models and backend Python services for fintech workflow automation. Implement enterprise-scale data pipelines and intelligent routing systems while ensuring compliance with financial regulatory standards.

Requirements

Requires 3-5+ years of experience in AI/ML engineering with a proven track record of deploying models at scale. Proficiency in Python, ML frameworks, and data pipeline tools is essential, along with experience in regulated industries.

Benefits

• Flexible working hours • Health insurance • Dental insurance • Professional development fund • 15 days of paid time off • Soft-skill development courses

Listed skills

• Python · Preferred
• Workflow Automation · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• TensorFlow
• PyTorch
• Scikit-Learn
• Airflow
• Spark
• Kafka
• n8n
• LangGraph
• RAG pipelines
• Intelligent document processing
• AI Model Deployment
• Data Pipelines
• Workflow Automation
• Financial Compliance Design

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Finance & Accounting