Software Engineer

Employer · Yext

Software developerApplications developerWeb and multimedia developerFlexibleFull-time

Budapest

Yext is looking for a Software Engineer to join Team Artemis, which builds and maintains key features of Yext's Social products. You will work on a mix of customer-facing features and backend services, developing scalable systems that process and distribute content, including AI-powered content creation tools.

Tasks

  • Participate in the full software development lifecycle, from design and implementation through testing, deployment, and ongoing operation
  • Contribute to the design, implementation, and deployment of highly scalable and reliable systems
  • Develop storage systems, libraries, and frameworks
  • Proactively contribute ideas for new features and identify opportunities to improve our products, systems, and engineering practices
  • Collaborate effectively with colleagues across engineering and with partners throughout the company
  • Write clean, tested, and well-documented code
  • Use AI-assisted development tools thoughtfully to accelerate engineering work, explore solutions, improve code quality, and reduce repetitive tasks
  • Critically evaluate, test, and validate AI-generated output rather than treating it as inherently correct
  • Maintain ownership of all work produced with AI assistance, including its correctness, security, maintainability, and alignment with our engineering standards

Requirements

  • A bachelor's degree (BSc) or higher in Computer Science, Software Engineering, or a closely related technical field.
  • 2+ years of professional software engineering experience
  • A strong foundation in data structures, algorithms, and software design
  • Fluency with Java, C++, Python, or a similar programming language (we code primarily in Java and Go)
  • Openness to new technologies, new ways of working, and creative solutions
  • Comfort working in a fast-paced environment
  • The ability to evaluate technical solutions critically, including code and recommendations produced by AI tools
  • Experience using---or a demonstrated interest in learning---AI-assisted development tools as part of a responsible engineering workflow
  • Sound judgment regarding data privacy, intellectual property, security, and the appropriate use of confidential information when working with AI tools

Posted Oct 22, 2026 · Updated 12 days ago · 0 views