Sr. Full Stack Engineer

Location:

For Those Who Work At Home, Georgia

We are seeking a specialist with experience designing, training, and operationalizing intelligent document-processing solutions. The ideal candidate combines applied AI and machine learning expertise with cloud data engineering, secure information handling, and configurable business-rule automation. This role focuses on turning unstructured and semi-structured documents into accurate, auditable, and actionable data products.

Intelligent Document Processing (IDP), optical character recognition (OCR), and document classification Training, evaluating, and tuning document extraction models for structured, semi-structured, and handwritten content Entity and field extraction, confidence scoring, quality metrics, and model accuracy assessment Document preprocessing, page-level validation, exception detection, and human-in-the-loop review patterns Python development for data processing, automation, model integration, and reusable components Cloud-native data pipelines using object storage, analytical databases, batch processing, and job orchestration Configuration-driven validation using YAML or similar formats to separate business rules from application code Data normalization, reconciliation, tolerance handling, and comparison against authoritative data sources Encryption, decryption, sensitive-data controls, auditability, and secure cloud processing API and system integration for ingesting documents, publishing results, and supporting downstream workflows Applied AI and Machine Learning Practical experience with document AI platforms or comparable machine learning services Understanding of supervised model training, labeling strategies, evaluation datasets, confidence thresholds, and error analysis Ability to identify when OCR, rules-based logic, machine learning, or generative AI is the appropriate solution Experience applying large language models to document understanding, unstructured content analysis, summarization, or reasoning use cases Knowledge of responsible AI practices, including explainability, traceability, quality controls, and review escalation Data and Platform Engineering Experience with cloud object storage, SQL-based analytical platforms, and production data pipelines Batch and event-driven processing patterns, workflow orchestration, retries, monitoring, and operational support Data modeling for extracted values, confidence scores, validation results, and processing history CI/CD, source control, automated testing, environment promotion, and infrastructure-as-code practices Observability and troubleshooting across model, application, data, and integration layers Business and Delivery Capabilities Ability to translate document-review procedures into clear technical requirements and configurable validation rules Collaboration with business subject-matter experts to define fields, thresholds, exceptions, and acceptance criteria Clear documentation of model behavior, processing logic, decision outcomes, and operational procedures Ability to communicate complex AI and data-processing concepts to technical and non-technical stakeholders Focus on scalable, reusable solutions rather than one-off document automations

• Bachelor's Degree in Information Systems, Computer Science, Data analytics, or related technical field
• Hands-on experience delivering document-processing or information-extraction solutions in a regulated industry
• Experience with sensitive or confidential information and enterprise security controls
• Familiarity with cloud-based machine learning and data platforms
• Knowledge of financial-services, legal, healthcare, insurance, or other document-intensive workflows
• Experience designing exception-based workflows that reduce manual review while preserving quality and control

This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.

This position is eligible to earn a base salary in the range of $80,000.00 - $ annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Key has implemented an approach to employee work spaces which prioritizes in-office presence, while providing flexible options in circumstances…