ABBYY
Enterprise · Document AI
- HQ
- Milpitas, US
- Founded
- 1989
- Size
- 500+
- Website
- abbyy.com
Currently tracking 7 active AI roles, down 60% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $75k–$170k (avg $125k).
ABBYY has 13 active AI-related job listings. The majority of these roles are in data, accounting for 38% of the openings, followed by serving infrastructure at 31%. Engineering is the top function across all these positions. The company is hiring for these roles in Hungary and India. Frequent technology tags include model_serving, inference_infra, and vision, suggesting a focus on deploying and optimizing AI models.
Enterprise · Document AI
ABBYY currently has 12 active AI-related roles in our index. The most common open titles are: Senior Software Engineer – C# (2), Senior Software Engineer – C++ (2), Staff Software Engineer (2), Principal Machine Learning Engineer - Model Efficiency Optimization, Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager). Most positions are in Engineering.
ABBYY's active AI hiring is concentrated in: data (42%), serving infrastructure (25%), agents (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
ABBYY is hiring AI talent in: Hungary (7 roles), India (5 roles).
Job postings at ABBYY most frequently mention: Machine Learning, Vision-Language Models, Applied Mathematics, Large Language Models (LLMs), Aerospace.
In the past 30 days, ABBYY has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Machine Learning Engineer - Model Efficiency Optimization Seeking a Principal Machine Learning Engineer to lead ABBYY's model optimization strategy for document AI at scale. This role involves defining technical direction from research to production, focusing on building efficient, high-performing models. Responsibilities include establishing evaluation frameworks for quality vs. efficiency trade-offs, leading implementation of optimization pipelines, and collaborating with various teams to ensure optimized models meet performance standards. Requires expertise in model optimization techniques, efficient deep learning, VLMs, and Python/PyTorch. | ServePost-train | 9 |
| Senior Machine Learning Engineer, Synthetic Data & Document Understanding This role focuses on building generative pipelines for synthetic data at scale for document understanding tasks. The engineer will design and implement systems to produce high-quality, diverse synthetic training data, develop evaluation frameworks, and ensure the synthetic data improves downstream model performance. Responsibilities include owning the synthetic data generation track end-to-end, driving architectural decisions, and building scalable, cost-efficient pipelines. | Data | 8 |
| Senior Machine Learning Engineer - AI-Assisted Data Annotation This role focuses on designing, building, and owning AI-assisted data annotation pipelines using LLMs and vision-language models to generate high-quality training data at scale for enterprise customers. It involves developing annotation strategies, quality validation systems, and optimizing inference pipelines. | DataPost-train | 8 |
| Principal Machine Learning Engineer, Document AI Data (Tech Lead Manager) Principal Machine Learning Engineer (Tech Lead Manager) to lead ABBYY’s Document AI Data team. This role involves hands-on technical leadership and people management, owning the architecture and roadmap for building high-quality training data at scale, and managing the team. The focus is on defining how training data is created, validated, and scaled for LLMs and VLMs. | DataPost-train | 8 |
| Senior Machine Learning Engineer, Model Training & Evaluation Senior Machine Learning Engineer responsible for the end-to-end training and evaluation cycle of document AI models, focusing on creating reliable, reproducible, and scalable experimentation pipelines. The role involves designing and maintaining evaluation frameworks, optimizing training processes, and collaborating with platform engineering for infrastructure support. | Post-trainServe | 8 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer role focused on leading the development and architecture of computer vision and multimodal AI systems for enterprise customers, with a strong emphasis on technical leadership, mentorship, and driving production readiness and scalability. | Ship | 8 |
| Senior Backend Developer Senior Backend Developer role focused on designing, building, and operating scalable backend services for enterprise AI and intelligent automation solutions. The role involves end-to-end feature ownership, technical direction influence, and mentorship, utilizing .NET, Node.js/TypeScript, Kubernetes, AWS/Azure, and Cloudflare Workers. | — | 5 |
| Backend Developer Backend Developer role focused on supporting enterprise AI and intelligent automation solutions. Responsibilities include designing, implementing, and maintaining backend services using .NET and Node.js/TypeScript, deploying and monitoring services in Kubernetes, and contributing to CI/CD pipelines. Requires 2-4 years of backend experience, familiarity with cloud platforms, and SQL. | — | 5 |
| Engineering Manager Engineering Manager leading two backend feature teams, focusing on technical decision-making, architectural leadership, and people management for ABBYY's intelligent automation platform. The role emphasizes developing scalable backend systems and fostering engineering excellence, while also advocating for AI-assisted development practices. | — | 5 |
| Senior Software Engineer – C# Senior Software Engineer to build and evolve services for ABBYY's Document AI platform (Vantage), which combines AI, OCR, NLP, and LLM integration for enterprise customers. Responsibilities include end-to-end development, code quality, cross-functional collaboration, continuous improvement, system reliability, and staying current with AI advancements. | Data | 5 |
| Senior Software Engineer – C++ Senior Software Engineer to join the Vantage engineering team, focusing on building and evolving services for ABBYY's Document AI platform. This role involves end-to-end development of features and services related to document processing, AI skill management, cloud infrastructure, and API layers, with a strong emphasis on C++ and microservices architecture. | Data | 5 |
| Staff Software Engineer Staff Software Engineer to lead the design and delivery of complex, cross-cutting capabilities for ABBYY's Document AI platform (Vantage), focusing on LLM integrations, compliance, analytics, and platform extensibility. The role involves technical leadership, setting quality standards, strategic collaboration, platform improvement, operational excellence, and mentorship. | Agent | 5 |
| Senior Software Engineer – C++ Senior Software Engineer to join the Vantage engineering team, focusing on building and evolving services for a Document AI platform. Responsibilities include end-to-end development, code quality, cross-functional collaboration, continuous improvement, system reliability, and technical growth. Requires C++ expertise, experience with CI/CD, microservices, and distributed systems. Desired qualifications include Azure experience, workflow-driven systems, ML/LLM integration, and familiarity with OCR/NLP/computer vision. | Serve | 5 |
| Senior Software Engineer – C# Senior Software Engineer to build and evolve services for ABBYY's Document AI platform (Vantage), focusing on OCR pipelines, skill training, API integrations, and analytics infrastructure. Requires C# .NET expertise, CI/CD, microservices, and cloud-native patterns. | Serve | 5 |
| Technical Success Manager ABBYY is seeking a Technical Success Manager Lead to guide a team of Technical Success Managers and engage directly with enterprise customers to ensure they maximize value from ABBYY's AI and intelligent automation solutions. This role involves leadership, strategic customer engagement, process improvement, and operational excellence, focusing on driving adoption and customer satisfaction within a mature product environment. | — | 5 |
| Staff Software Engineer Staff Software Engineer to lead technical design and delivery of complex, cross-cutting capabilities for ABBYY's Document AI platform (ABBYY Vantage), focusing on LLM integrations, compliance, and platform extensibility. Role involves technical leadership, setting quality standards, strategic collaboration, platform improvement, and operational excellence. | Agent | 5 |
| Solution Development Representative (SaaS/OCR/IDP) This role is for a Solution Development Representative (SDR) at ABBYY, a company specializing in purpose-built AI and intelligent automation for enterprise customers. The SDR will generate qualified sales opportunities by following up on inbound leads, conducting account development, and cold calling. They will also assist Account Executives with lead penetration strategies and collaborate on campaign tactics. The role requires strong business acumen, communication skills, and the ability to articulate the business value of ABBYY's solutions. Experience with CRM software and fluency in English, Italian, and Spanish are required. | — | 0 |
| Talent Acquisition Specialist ABBYY is seeking a Talent Acquisition Specialist to lead sourcing, attracting, and hiring top talent across the APAC region, leveraging advanced proficiency in Greenhouse ATS and LinkedIn Recruiter. The ideal candidate will bring deep knowledge of APAC talent markets, a proven ability to hire across diverse functions, and expertise in managing a data-driven, end-to-end recruitment process. This role requires a collaborative, strategic partner who excels in stakeholder alignment and delivering an exceptional candidate experience. | — | 0 |
| Channel Lead (Americas) This role is for a Channel Lead responsible for owning and scaling partner-driven revenue by leading a team of Partner Account Managers and driving strategic technology and go-to-market partnerships. The role focuses on revenue ownership, team leadership, and ecosystem strategy within the enterprise AI and intelligent automation space. | — | 0 |
| Staff Backend Developer Staff Backend Developer role focused on technical leadership, architecture, and delivery of backend services using .NET/Node.js on Kubernetes, AWS/Azure, and edge compute. The role involves mentoring engineers and driving technical direction for a feature team, with a mention of AI-assisted development workflows. | — | 0 |
| Junior Backend Developer Junior Backend Developer role focused on building and maintaining scalable backend services for enterprise-grade intelligent automation solutions. The role involves feature development, platform and cloud exposure (Docker, Kubernetes, AWS, Azure, Cloudflare Workers), and collaboration within an agile team. Requires a CS degree or equivalent, proficiency in backend languages (C#, Node.js/TypeScript), software engineering fundamentals, Git, and English communication. Openness to using AI-assisted development tools is required. | — | 0 |