AI Code Fixing Engineer

Logoslabs

San Francisco (CA)

A distancia

USD 90.000 - 130.000

Jornada completa

Hace 9 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

RYZ Labs, a startup studio with a distributed US/LatAm team, seeks a Code Fixing Engineer to ensure code quality and reliability across our platforms.

You will debug, repair, and optimize code, collaborate with developers and cross-functional teams, and document fixes to build scalable, resilient systems. This role offers autonomy and opportunities to contribute to multiple startups in the making.

Formación

  • Bachelor's degree in Computer Science or a related field.
  • Proficiency in programming languages relevant to the AI industry (e.g., Python, Java, C++).
  • Strong problem-solving skills and attention to detail.
  • Experience with software debugging tools and methods.

Responsabilidades

  • Analyze and correct defects in existing codebases.
  • Collaborate with developers and cross-functional teams to identify and resolve coding issues.
  • Optimize system performance by implementing efficient code fixes.
  • Document bug fixes and maintain a log of changes made to the code.

Conocimientos

Python
Java
C++
Problem solving
Attention to detail

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Debugging tools

Descripción del empleo

We are seeking a skilled Code Fixing Engineer to join our development team in ensuring code quality and functionality. The role involves debugging, repairing, and optimizing code to enhance overall system performance.

Key Responsibilities:
  • Analyze and correct defects in existing codebases.

  • Collaborate with developers and cross-functional teams to identify and resolve coding issues.

  • Optimize system performance by implementing efficient code fixes.

  • Document bug fixes and maintain a log of changes made to the code.

Qualifications:
  • Bachelor’s degree in Computer Science or a related field.

  • Proficiency in programming languages relevant to the AI industry (e.g., Python, Java, C++).

  • Strong problem-solving skills and attention to detail.

  • Experience with software debugging tools and methods.

About RYZ Labs:

RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

Our values and what to expect:
  • Customer First Mentality - every decision we make should be made through the lens of the customer.

  • Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.

  • Ownership - step up if you see an opportunity to help, even if not your core responsibility.

  • Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.

  • Frugality - being frugal and cost-conscious helps us do more with less.

  • Deliver Impact - get things done in the most efficient way.

  • Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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