AI Engineer
Lumenalta
Job Overview
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Job Description
About Lumenalta
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 as an AI Engineer
- 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 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.
This is a fully remote position open to candidates based in Latin America (LATAM). While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours, which are primarily aligned with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with project teams.
Key skills/competency
- AI/ML Engineering
- Production AI Deployment
- Backend Python
- ML Frameworks (TensorFlow, PyTorch)
- Data Pipelines (Airflow, Spark, Kafka)
- Workflow Automation
- RAG Pipelines
- Intelligent Document Processing
- Fintech Domain
- Compliance-First Design
How to Get Hired at Lumenalta
- Research Lumenalta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Tailor your AI Engineer resume: Customize your resume to highlight experience in deploying AI to production, backend Python, and financial services knowledge.
- Showcase project impact: Emphasize your track record of delivering measurable results in AI/ML engineering and workflow automation, particularly in regulated industries.
- Prepare for technical depth: Be ready to discuss your expertise with ML frameworks, data pipelines, and intelligent document processing specific to fintech.
- Demonstrate collaborative adaptability: Highlight experiences working in agile, startup-like environments and influencing technical direction effectively within a remote team.
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