Remote C++/Python Engineer for Speech AI Services

Verbio; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Fully remote

Company laptop

Private health insurance

Job summary

Verbio is seeking a skilled software engineer to develop and maintain services for conversational AI and speech technologies. You will work across implementation, optimization, and integration with external systems, partnering with engineers, researchers, and business colleagues to shape the AI services ecosystem.

The role emphasizes engineering discipline, testing, modular design, and collaborative planning.

Qualifications

• Degree in computer science, telecommunications, or a related field.
• At least four years of programming experience in C++, Python, or Rust; C++ required.
• Experience with CI systems and build tools such as CMake or Conan.
• Familiarity with Docker and strong Linux development knowledge, including packaging.
• Collaborative, results-oriented approach and strategic problem-solving skills.
• English proficiency at B2 level or above.

Responsibilities

• Design, build, and maintain services for speech technology products.
• Implement and optimize software components, including integrations with client systems.
• Support clean, maintainable code and improve engineering practices such as testing and modular design.
• Participate in decisions about team goals, priorities, and work planning.
• Contribute throughout the development process and help improve team collaboration.

Skills

C++

Python

Rust

CI systems

CMake

Conan

Docker

Linux

English B2

Education

Degree in computer science, telecommunications, or related field

Tools

CMake

Conan

Job description

Verbio is seeking a skilled software engineer to develop and maintain services for conversational AI and speech technologies. You will work across implementation, optimization, and integration with external systems, partnering with engineers, researchers, and business colleagues to shape the AI services ecosystem.

The role emphasizes engineering discipline, testing, modular design, and collaborative planning.