AI Engineer

Lumenalta
RemoteFull-time$50,000–$120,000Posted Aug 31, 2026

About the role

## About the Company

Lumenalta partners with forward-thinking organizations to build scalable technology solutions that improve user experiences and accelerate business growth. The company works with global teams and emphasizes technical excellence, transparency, autonomy, collaboration, and meaningful impact.

## About the Role

Lumenalta is seeking experienced AI Engineers to support a high-growth fintech initiative focused on back-office workflow automation. This role offers an opportunity to design, develop, and deploy production-grade AI systems for organizations in banking, mortgage, and insurance.

The AI Engineer will work on intelligent automation solutions involving AI models, Python backend services, enterprise data pipelines, document processing, and workflow orchestration. The role also involves collaborating with engineering leadership to influence architecture and technology decisions while ensuring solutions are designed with regulatory and compliance requirements in mind.

This is a fully remote position. Candidates must be located in regions aligned with Pacific, Central, or Eastern U.S. time zones.

## Key Responsibilities

  • Design, build, and deploy AI and machine learning models into production environments.
  • Develop and maintain backend services using Python to support intelligent automation workflows.
  • Build enterprise-scale data pipelines for financial and regulatory document ingestion and processing.
  • Implement automated data quality checks, monitoring, and validation processes.
  • Train and optimize AI and machine learning models using banking rules, compliance requirements, and regulatory datasets.
  • Develop intelligent routing systems that automate straightforward cases while escalating complex cases to human teams.
  • Build solutions for enterprise use cases such as workflow automation, RAG pipelines, intelligent document processing, and conversational applications.
  • Collaborate with engineering leadership on architecture, technology stack, and delivery decisions.
  • Contribute to scalable, reliable, and maintainable AI system architecture.
  • Ensure regulatory and compliance considerations are incorporated into AI product development.
  • Work effectively with a lean, high-performing technical team.
  • Continuously evaluate and adopt appropriate technologies to improve AI solutions and engineering workflows.

## Required Qualifications

  • 3-5+ years of experience in AI/ML engineering.
  • Proven experience deploying AI or machine learning solutions into production environments.
  • Strong backend development experience with Python.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Experience developing and maintaining production-grade AI systems.
  • Strong understanding of data processing and enterprise data pipelines.
  • Experience working with AI-driven applications, workflow automation, RAG pipelines, intelligent document processing, or similar solutions.
  • Strong problem-solving and analytical skills.
  • Ability to work independently in a fast-paced and evolving environment.
  • Strong communication and collaboration skills.

## Preferred Qualifications

  • Experience with modern data pipeline technologies such as Airflow, Spark, or Kafka.
  • Experience with workflow orchestration tools such as n8n or LangGraph.
  • Experience working with financial services, insurance, banking, mortgage, or other regulated industries.
  • Understanding of compliance-focused AI development.
  • Experience working with regulatory or financial datasets.
  • Experience with distributed or cloud-based systems.
  • Familiarity with startup-style environments and rapidly evolving technology stacks.
  • Experience influencing technical architecture and engineering decisions.

## Technical Skills

  • Python
  • Machine Learning
  • Artificial Intelligence
  • TensorFlow
  • PyTorch
  • Scikit-Learn
  • Data Pipelines
  • Airflow
  • Spark
  • Kafka
  • RAG
  • Intelligent Document Processing
  • Workflow Automation
  • n8n
  • LangGraph
  • Backend Development
  • AI Model Deployment
  • Data Quality
  • Cloud Technologies
  • System Architecture

## Work Environment

This is a 100% remote position requiring a comfortable and productive home-office setup. The role requires a minimum of 40 hours per week, Monday through Friday.

Candidates should be located in regions that align with Pacific, Central, or Eastern U.S. time zones to support effective collaboration with clients and team members.

## Compensation and Benefits

The expected salary range for this position is $50,000 to $120,000 annually. Final compensation will depend on qualifications, technical expertise, professional experience, and the scope of the role.

Eligible employees may receive:

  • Flexible working hours in a remote environment.
  • Health insurance, including medical and dental coverage, for W2 employees.
  • 401(k) contribution.
  • Professional development funding.
  • 15 days of paid time off annually.
  • Access to soft-skill development courses.
  • Opportunities to work with experienced senior-level engineers.
  • Dedicated project assignments that support technical growth and innovation.

## Equal Opportunity

Lumenalta is committed to creating an inclusive and supportive workplace where employees can contribute, grow, and do meaningful work. Employment decisions are based on qualifications, skills, experience, and business requirements, with respect for applicable equal employment opportunity laws.

Responsibilities

  • Design, build, and deploy AI and machine learning models into production environments.
  • Develop and maintain backend services using Python to support intelligent automation workflows.
  • Build enterprise-scale data pipelines for financial and regulatory document ingestion and processing.
  • Implement automated data quality checks, monitoring, and validation processes.
  • Train and optimize AI and machine learning models using banking rules, compliance requirements, and regulatory datasets.
  • Develop intelligent routing systems that automate straightforward cases while escalating complex cases to human teams.
  • Build solutions for enterprise use cases such as workflow automation, RAG pipelines, intelligent document processing, and conversational applications.
  • Collaborate with engineering leadership on architecture, technology stack, and delivery decisions.

Qualifications

  • 3-5+ years of experience in AI/ML engineering.
  • Proven experience deploying AI or machine learning solutions into production environments.
  • Strong backend development experience with Python.
  • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
  • Experience developing and maintaining production-grade AI systems.
  • Strong understanding of data processing and enterprise data pipelines.
  • Experience working with AI-driven applications, workflow automation, RAG pipelines, intelligent document processing, or similar solutions.
  • Strong problem-solving and analytical skills.

Benefits

  • Flexible working hours in a remote environment.
  • Health insurance, including medical and dental coverage, for W2 employees.
  • 401(k) contribution.
  • Professional development funding.
  • 15 days of paid time off annually.
  • Access to soft-skill development courses.
  • Opportunities to work with experienced senior-level engineers.
  • Dedicated project assignments that support technical growth and innovation.

Skills mentioned

PythonMachine LearningBackend DevelopmentModel DeploymentData PipelinesRetrieval-Augmented GenerationWorkflow AutomationApache AirflowPyTorchScikit-learn

About Lumenalta

Torentify Jobs is a modern job platform helping candidates find verified job opportunities quickly and easily. From remote jobs to full-time roles, we connect talent with the right companies. Our goal is to simplify job search and help recruiters hire faster with quality candidates.

Technology2-10 employeesIndore, Madhya Pradesh