Senior Software Engineer

Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours. Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing. As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson Johnson, FDA, DMV, PwC, KeyBank, Spotify, and HR BLOCK. ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson Johnson, FDA, PwC, KeyBank, Spotify, and HR Block – to automate their most complex document workflows. We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment. Responsibilities: End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers. Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team. Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions. Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity. System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner. Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform. Required Qualifications: 5–9 years of professional software engineering experience with strong proficiency in C# and .NET, as well as C++ Hands-on experience building or operating cloud-hosted services, ideally on Microsoft Azure Solid understanding of microservices architecture, RESTful API design, and containerized deployments (Docker, Kubernetes) Demonstrated track record of writing high-quality, testable code (TDD, unit testing, integration testing) Experience working in Agile/Scrum teams with iterative, CI/CD-driven delivery practices Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems Desired Qualifications: Experience with AI/ML-integrated backend services, LLM APIs (e.g., Azure OpenAI), or intelligent document processing workflows Familiarity with OCR, NLP, or computer vision technologies as applied in enterprise software Mentorship experience or interest in coaching junior engineers Exposure to compliance- ... (truncated, view full listing at source)