Senior Full Stack Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, train, and implement intelligent document-processing solutions.

• Convert unstructured and semi-structured documents into precise, verifiable, and actionable data products.

• Train, assess, and optimize document extraction models for structured, semi-structured, and handwritten materials.

• Conduct entity and field extraction, confidence scoring, quality assessment, and model accuracy evaluations.

• Execute document preprocessing, page-level validation, exception detection, and human-in-the-loop review processes.

• Create Python-based data processing, automation, model integration, and reusable components.

• Develop cloud-native data pipelines utilizing object storage, analytical databases, batch processing, and job orchestration.

• Implement configuration-driven validation to distinguish business rules from application code.

• Normalize and reconcile data, manage tolerances, and compare results against authoritative data sources.

• Enforce encryption, decryption, sensitive-data controls, auditability, and secure cloud processing.

• Integrate APIs and systems for document ingestion, result publication, and downstream workflows.

• Choose suitable OCR, rules-based logic, machine learning, or generative AI solutions.

• Utilize large language models for document understanding, unstructured content analysis, summarization, and reasoning tasks.

• Collaborate with business subject-matter experts to establish fields, thresholds, exceptions, and acceptance criteria.

• Document model behavior, processing logic, decision outcomes, and operational procedures.

• Create scalable, reusable solutions instead of one-off document automation.

• Provide support for CI/CD, automated testing, environment promotion, infrastructure-as-code, monitoring, troubleshooting, and operational assistance.

⛳️ Requirements

• Bachelor's Degree in Information Systems, Computer Science, Data Analytics, or a related technical field.

• Practical experience in delivering document-processing or information-extraction solutions within a regulated industry.

• Familiarity with handling sensitive or confidential information and enterprise security controls.

• Experience with cloud-based machine learning and data platforms.

• Knowledge of workflows in financial services, legal, healthcare, insurance, or other document-intensive sectors.

• Proven track record in designing exception-based workflows that minimize manual review while maintaining quality and control.

• Experience with Intelligent Document Processing (IDP), optical character recognition (OCR), and document classification.

• Familiarity with training, evaluating, and fine-tuning document extraction models for structured, semi-structured, and handwritten content.

• Proficiency in Python for data processing, automation, model integration, and reusable components.

• Experience with cloud-native data pipelines, object storage, analytical databases, batch processing, and job orchestration.

• Knowledge of encryption, decryption, sensitive-data controls, auditability, and secure cloud processing.

• Familiarity with APIs and system integration.

• Practical experience with document AI platforms or similar machine learning services.

• Understanding of supervised model training, labeling strategies, evaluation datasets, confidence thresholds, and error analysis.

• Experience applying large language models to document understanding, unstructured content analysis, summarization, or reasoning tasks.

• Awareness of responsible AI practices, including explainability, traceability, quality controls, and review escalation.

• Experience with SQL-based analytical platforms, production data pipelines, batch and event-driven processing, workflow orchestration, retries, monitoring, and operational support.

• Familiarity with CI/CD, source control, automated testing, environment promotion, and infrastructure-as-code methodologies.

• Experience with observability and troubleshooting across model, application, data, and integration layers.

• Ability to translate document-review procedures into technical requirements and configurable validation rules.

• Capacity to collaborate with business subject-matter experts to define fields, thresholds, exceptions, and acceptance criteria.

• Skill in documenting model behavior, processing logic, decision outcomes, and operational procedures.

• Ability to convey complex AI and data-processing concepts to both technical and non-technical stakeholders.

• This position does not qualify for employment visa sponsorship for non-U.S. citizens.

🏝️ Benefits

• Base salary range of $80,000.00–$150,000.00 per year.

• Eligibility for incentive compensation, which may include production bonuses, commissions, and/or discretionary incentives.

• Benefits available for this position (specific benefits list linked in posting).

• Flexible options available for roles that can be effectively performed in a mobile environment.