AI Engineer (Remote)
Lumenalta · Costa Rica
- Hybrid
- Full-time
- $120,000 / year
- Costa Rica
Job highlights
- Design and deploy production-grade AI systems.
- Develop backend Python services for automation.
- Implement enterprise-scale data pipelines.
- Train models on financial and regulatory data.
- Collaborate on architecture and delivery.
About the role
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.
Future Opportunity Role – Talent Pipeline
This is a future opportunity role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.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
- 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.
Key skills/competency
- AI Engineer
- Machine Learning
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- Data Pipelines
- Workflow Automation
- Financial Services
- Production Deployment
Skills & topics
- AI Engineer
- Machine Learning
- Python
- TensorFlow
- PyTorch
- Scikit-Learn
- Data Pipelines
- Workflow Automation
- Fintech
- Remote
How to get hired
- Tailor your resume: Highlight AI/ML engineering experience, Python, ML frameworks, and production deployment.
- Showcase domain expertise: Emphasize experience in regulated industries like finance or insurance.
- Demonstrate technical skills: Detail your work with TensorFlow, PyTorch, Scikit-Learn, and data pipeline tools.
- Express adaptability: Mention your comfort with evolving tech stacks and startup environments.
- Prepare for technical interviews: Be ready to discuss AI model deployment and workflow automation.
Technical preparation
Master Python backend development for AI.,Deep dive into TensorFlow, PyTorch, Scikit-Learn.,Practice building and deploying AI models.,Familiarize with data pipeline and orchestration tools.
Behavioral questions
Describe a complex AI deployment you managed.,How do you ensure compliance in AI systems?,How do you collaborate with technical leadership?,How do you adapt to evolving tech stacks?
Frequently asked questions
- How can I apply for the AI Engineer role at Lumenalta?
- To apply for the AI Engineer position at Lumenalta, you can submit your application through our careers page. Since this is a future opportunity role, your application will be kept on file for upcoming client projects. Ensure your resume highlights relevant experience in AI/ML engineering, Python, ML frameworks, and production deployment, especially within regulated industries.
- What is the application deadline for the AI Engineer position?
- Applications for the AI Engineer role will be accepted until May 30, 2026. This is a future opportunity role, and Lumenalta continuously builds its talent pipeline for upcoming client projects. The position may be reposted to connect with more qualified professionals.
- Is the AI Engineer role at Lumenalta remote?
- Yes, the AI Engineer role at Lumenalta is 100% remote. Candidates must be based in Latin America (LATAM) and willing to maintain at least a 6-hour overlap with core U.S. business hours (Pacific, Central, or Eastern time zones).
- What are the key technical skills required for an AI Engineer at Lumenalta?
- Key technical skills for the AI Engineer role include strong backend Python, expertise with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn, and familiarity with data pipeline tools like Airflow, Spark, or Kafka. Experience with workflow orchestration frameworks like n8n or LangGraph is also beneficial.
- What kind of AI projects can I expect to work on as an AI Engineer at Lumenalta?
- As an AI Engineer at Lumenalta, you will design, build, and deploy production-grade AI models for back-office workflow automation in fintech. This includes implementing enterprise-scale data pipelines for financial and regulatory documents, training compliance-aligned models, and building intelligent routing systems.
- Does Lumenalta require experience in regulated industries for the AI Engineer role?
- Yes, Lumenalta looks for candidates with an understanding of regulated industries such as financial services or insurance. This domain awareness is crucial for designing compliance-aligned models and ensuring regulatory considerations are embedded into product features.
- What is the expected experience level for the AI Engineer position?
- The AI Engineer role at Lumenalta requires 3-5+ years of experience in AI/ML engineering, with a proven track record of deploying AI solutions into production at scale. Experience with enterprise applications like chatbots, workflow automation, RAG pipelines, or intelligent document processing is also valued.
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