Software Engineer, Knowledge Graph & AI

Yext Inc.; New York (NY); Presencial; USD 112.000 - 229.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental and vision benefits

Life insurance

Disability insurance

401(k) retirement plan

Vacation and sick leave

Performance-based incentives

Descripción de la vacante

Yext is seeking a Software Engineer in New York City to help build and evolve our Knowledge Graph infrastructure. You will work on core systems, APIs, and AI-assisted tooling in a fast-paced, collaborative environment.

You’ll join a team that values thoughtful data modeling, scalable design, and cross-functional collaboration with engineering and product partners. In-person work is expected at least three days a week with flexible arrangements.

Formación

• Bachelor's degree in CS or related field or equivalent.
• Strong foundation in data structures, algorithms and design.
• Fluency in Java, C++, Python or similar language (Java/Go used).
• Open to new technologies and fast-paced work environments.

Responsabilidades

• Participate in full software development lifecycle from design to deployment.
• Contribute to scalable, reliable systems design and deployment.
• Develop storage systems, libraries, and frameworks.
• Suggest new features and improvements for products and engineering practices.
• Collaborate across engineering and with partners throughout the company.
• Write clean, tested, well-documented code.
• Use AI-assisted tools responsibly to accelerate work and reduce repetitive tasks.
• Ensure AI-generated outputs are correct, secure, and maintainable.

Conocimientos

Java

C++

Python

Go

Data structures

Algorithms

Software design

AI tools awareness

Educación

BA/BS in Computer Science or related field

Descripción del empleo

Yext is seeking a Software Engineer in New York City to help build and evolve our Knowledge Graph infrastructure. You will work on core systems, APIs, and AI-assisted tooling in a fast-paced, collaborative environment.

You’ll join a team that values thoughtful data modeling, scalable design, and cross-functional collaboration with engineering and product partners. In-person work is expected at least three days a week with flexible arrangements.