Remote Senior Software Engineer - 34123

Turing

Brasil

Teletrabalho

BRL 327 690 - 436 920

Tempo parcial

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Work in a fully remote environment

Opportunity to work on cutting-edge AI projects

Resumo da oferta

Turing is seeking experienced software engineers at a tech lead level for a unique role combining software engineering and AI research. This position involves working with high-quality public GitHub repositories and contributing to the development of LLM evaluation datasets. It's an opportunity to influence the future of AI-assisted software development in a fully remote setup, requiring a commitment of 20 hours per week for a one-month contract.

Qualificações

Experience working with well-maintained, widely-used repositories with 500+ stars.
Proficiency with Git and Docker.
Experience contributing to or evaluating open-source projects is a plus.

Responsabilidades

Analyze and triage GitHub issues across trending open-source libraries.
Set up and configure code repositories, including Dockerization.
Modify and run codebases locally to assess LLM performance.

Conhecimentos

Git

Docker

Software pipeline setup

Complex codebases navigation

Open-source project evaluation

Descrição da oferta de emprego

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We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on public repository histories in a synthetic approach with human-in-the-loop; while expanding the dataset coverage to different types of tasks in terms of programming language, difficulty level, and etc.

About the Role:

We are looking for experienced software engineers (tech lead level) who are familiar with high-quality public GitHub repositories and can contribute to this project. You should have experience working with well-maintained, widely-used repos with 500+ stars. This role involves hands-on software engineering work, including development environment automation, issue triaging, and evaluating test coverage and quality

Why Join Us?

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development. This is a unique opportunity to blend practical software engineering with AI research.

What does day-to-day look like:

Analyze and triage GitHub issues across trending open-source libraries.
Set up and configure code repositories, including Dockerization and environment setup.
Evaluating unit test coverage and quality.
Modify and run codebases locally to assess LLM performance in bug-fixing scenarios.
Collaborate with researchers to design and identify repositories and issues that are challenging for LLMs.
Opportunities to lead a team of junior engineers to collaborate on projects.

Required Skills:

Experience working with well-maintained, widely-used repositories with 500+ stars
Proficiency with Git, Docker, and basic software pipeline setup.
Ability to understand and navigate complex codebases.
Comfortable running, modifying, and testing real-world projects locally.
Experience contributing to or evaluating open-source projects is a plus.

Note: Experience working with well-maintained, widely-used repositories (500+ stars) is required.

Nice to Have: