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.
The Role of an AI Engineer
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.
This is a fully remote position open to candidates based in Europe or regions with compatible time zones. To ensure effective collaboration with our client and team, candidates must maintain a 6-hour overlap with Eastern U.S. business hours.
Application Deadline
This role is an evergreen position with no predetermined start date. Applications will be accepted until February 27, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.
Key skills/competency
- AI/ML Engineering
- Production Deployment
- Backend Python
- Data Pipelines
- Workflow Automation
- Financial Services
- Regulatory Compliance
- TensorFlow
- PyTorch
- LangGraph
How to Get Hired at Lumenalta
- Research Lumenalta's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight AI deployment experience, Python proficiency, and ML frameworks for fintech.
- Showcase domain expertise: Emphasize experience in financial services or other regulated industries.
- Prepare for technical deep-dives: Expect questions on ML lifecycle, data pipelines, and system architecture.
- Demonstrate collaborative spirit: Discuss teamwork in lean, high-performing, startup-like environments.
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