ABBYY

About ABBYY

Transforming business processes with intelligent automation

🏢 Tech👥 501-1000 employees📅 Founded 1989📍 Congress Avenue Historic District, Austin, TX💰 $6m3.6
B2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaS

Key Highlights

  • Headquartered in Austin, TX with 501-1000 employees
  • Hundreds of thousands of clients, including Fortune 500 companies
  • $6 million raised to enhance AI and machine learning capabilities
  • Specializes in document translation and processing solutions

ABBYY, headquartered in the Congress Avenue Historic District of Austin, TX, is a leading digital intelligence platform specializing in document translation and processing. With a strong focus on intelligent automation, ABBYY serves hundreds of thousands of clients, including numerous Fortune 500 co...

🎁 Benefits

ABBYY offers remote and hybrid working options, flexible hours, paid volunteering days off, and parental leave across all locations. Employees also be...

🌟 Culture

Founded in the 1980s, ABBYY has a rich history of technological innovation. The company fosters a culture of continuous improvement and adaptation, fo...

Skills & Technologies

Overview

ABBYY is hiring a Staff Software Engineer to build and scale their AI platform. You'll work with Python, Kubernetes, and DevOps practices to develop scalable AI services. This role requires strong experience in MLOps and cloud infrastructure.

Job Description

Who you are

You have a strong background in software engineering with a focus on AI and machine learning — your experience includes designing and building scalable systems that leverage cloud infrastructure and Kubernetes. You are comfortable with MLOps and DevOps practices, ensuring smooth deployment and operation of AI services in production environments.

You possess deep expertise in Python and microservice architectures — you've successfully implemented CI/CD workflows and have a solid understanding of model deployment, versioning, and rollback strategies. Your technical leadership skills allow you to mentor engineers and influence architectural decisions effectively.

You thrive in collaborative environments where you can work closely with cross-functional teams — your ability to communicate complex technical concepts clearly helps bridge the gap between engineering and other departments. You are committed to continuous learning and growth, both for yourself and your team.

Desirable

Experience with cloud platforms such as AWS or Azure would be a plus, as well as familiarity with data pipelines and dataset versioning. A background in intelligent automation or enterprise solutions can enhance your contributions to the team.

What you'll do

In this role, you will design and build scalable AI platform services using Python and microservice architectures — your focus will be on ensuring that AI services are built, deployed, observed, and evolved effectively in production. You will own the DevOps and MLOps workflows, including CI/CD processes, model deployment, and versioning.

You will work on building and maintaining Kubernetes-based platforms for AI workloads — your expertise will guide the team in optimizing performance and reliability. You will also be responsible for developing data pipelines and ensuring data quality throughout the ML lifecycle.

As a hands-on technical leader, you will influence the architecture of the AI platform and mentor junior engineers — your leadership will foster a culture of collaboration and innovation within the team. You will engage with stakeholders to understand their needs and translate them into technical solutions that drive business value.

What we offer

ABBYY provides a supportive work environment that values diversity and inclusion — you will have flexible work options that allow you to balance your professional and personal life. The company is committed to transparency and respect, ensuring that you can trust your colleagues and leadership.

You will have the opportunity to work with a portfolio of high-profile clients, including Fortune 500 companies — your contributions will directly impact how these organizations leverage AI and intelligent automation to transform their operations. ABBYY recognizes and rewards your efforts, reflecting your value within the organization.

Join us at ABBYY and be part of a team that celebrates your unique work style while driving growth and innovation in the AI space.

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