Senior AI Engineer

Lumenalta; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Lumenalta seeks an experienced AI Engineer to design and deploy production-grade AI systems for fintech workflow automation. You will build backend Python services powering automated workflows and create robust data pipelines with quality checks, tailored to banking and regulatory datasets.

Ideal candidates have 3–5+ years deploying AI at scale, expertise in TensorFlow, PyTorch, and Scikit-Learn, and experience with modern data pipelines.

Qualifications

• 3–5+ years deploying AI/ML into production at scale.
• Strong backend Python development experience.
• Experience with enterprise AI in regulated domains (finance/insurance).
• Familiarity with data pipelines and workflow orchestration.
• Ability to design compliant, production-ready models.

Responsibilities

• Design, build, and deploy production-grade AI models.
• Develop and maintain backend Python services powering automation workflows.
• Build and manage enterprise data pipelines with data quality checks and monitoring.
• Train models on banking and regulatory datasets and optimize performance.
• Collaborate with leadership to shape architecture and stack decisions.
• Ensure compliance-first design across features.

Skills

Python

TensorFlow

PyTorch

Scikit-Learn

Airflow

Spark

Kafka

n8n

LangGraph

Tools

Airflow

Spark

Kafka

n8n

LangGraph

Job description

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.

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.

Application Deadline

Applications will be accepted until November 8th, 2026. Candidates can expect feedback by November 16th, 2026.