Senior Full Stack Engineer

🕒 Outubro 14

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $80.000 - $150.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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KeyBank

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1994

🛡️ Seguros

💼 Consultoria

🏦 Bancário

Insurance • Consulting • Banking

O KeyBank é um banco de serviço completo que oferece uma ampla gama de serviços financeiros para indivíduos, pequenas empresas e grandes instituições. Os serviços incluem banco pessoal e empresarial, gestão de patrimônio, empréstimos, linhas de crédito, hipotecas, cartões de crédito e serviços de investimentos. O KeyBank também fornece ferramentas de banco online e móvel para ajudar os clientes a gerenciar suas finanças de maneira eficiente. Com foco no bem-estar financeiro, o KeyBank oferece recursos para ajudar os clientes a entender os fundamentos bancários, gerenciar dívidas e alcançar seus objetivos financeiros.

Descrição

• Design, train, and operationalize intelligent document-processing solutions • Turn unstructured and semi-structured documents into accurate, auditable, and actionable data products • Train, evaluate, and tune document extraction models for structured, semi-structured, and handwritten content • Perform entity and field extraction, confidence scoring, quality measurement, and model accuracy assessment • Implement document preprocessing, page-level validation, exception detection, and human-in-the-loop review patterns • Build Python-based data processing, automation, model integration, and reusable components • Develop cloud-native data pipelines using object storage, analytical databases, batch processing, and job orchestration • Implement configuration-driven validation to separate business rules from application code • Normalize and reconcile data, handle tolerances, and compare results against authoritative data sources • Apply encryption, decryption, sensitive-data controls, auditability, and secure cloud processing • Integrate APIs and systems for document ingestion, result publication, and downstream workflows • Select appropriate OCR, rules-based logic, machine learning, or generative AI solutions • Apply large language models to document understanding, unstructured content analysis, summarization, and reasoning use cases • Collaborate with business subject-matter experts to define fields, thresholds, exceptions, and acceptance criteria • Document model behavior, processing logic, decision outcomes, and operational procedures • Develop scalable, reusable solutions rather than one-off document automations • Support CI/CD, automated testing, environment promotion, infrastructure-as-code, monitoring, troubleshooting, and operational support

🎯 Requisitos

• 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 • Experience with Intelligent Document Processing (IDP), optical character recognition (OCR), and document classification • Experience training, evaluating, and tuning document extraction models for structured, semi-structured, and handwritten content • Experience with 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 • Experience with encryption, decryption, sensitive-data controls, auditability, and secure cloud processing • Experience with APIs and system integration • 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 • 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 • Experience with SQL-based analytical platforms, production data pipelines, batch and event-driven processing, workflow orchestration, retries, monitoring, and operational support • Experience with CI/CD, source control, automated testing, environment promotion, and infrastructure-as-code practices • 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 • Ability to collaborate with business subject-matter experts to define fields, thresholds, exceptions, and acceptance criteria • Ability to document model behavior, processing logic, decision outcomes, and operational procedures • Ability to communicate complex AI and data-processing concepts to technical and non-technical stakeholders • This position is NOT eligible for employment visa sponsorship for non-U.S. citizens

🏖️ Benefícios

• Base salary range of $80,000.00–$150,000.00 annually • Eligibility for incentive compensation, which may include production, commission, and/or discretionary incentives • Benefits for which this position is eligible (specific benefits list linked in posting) • Flexible options in circumstances where roles can be performed effectively in a mobile environment

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