Top Software Engineer Jobs in Ankara

As a Software Engineer, you'll design and develop scalable backend services for SaaS management, focusing on Go, APIs, and database optimization.

As a Software Engineer on the Machine Learning Services team, you'll build and maintain backend systems for ML services, develop microservices, and enhance integration with GenAI vendors while ensuring system reliability and performance.

Design, develop, and support software solutions, collaborate with teams, conduct code reviews, and maintain documentation in an Agile environment.

The Senior Fullstack Software Engineer develops web, mobile, and desktop solutions, focusing on both frontend and backend development while ensuring software quality, architecture, and collaboration within cross-functional teams.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

Develop and maintain a business intelligence application, write scalable code, collaborate on technical design, and improve developer experience while working with large data sets.

As an Ubuntu Core Software Engineer, you will design and implement features for the embedded Linux operating system, maintain boot mechanisms, debug system-level issues, and collaborate with a global team.

The role involves optimizing backend processes, leading multi-team projects, and ensuring engineering standards in a scalable environment. Requires deep knowledge of full-stack development, especially server-side.

Software Engineers at QuantCo will design and develop scalable solutions, integrate models into client businesses, and improve products based on client feedback.

Full-stack Developers at QuantCo build user interfaces for machine learning solutions, collaborating with data scientists and engineers to deliver actionable products.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Canonical seeks open-source enthusiasts to optimize Ubuntu for new silicon technologies, collaborating with teams and customers to enhance software quality and performance across various platforms.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

The Python Software Engineer will develop and maintain test automation tools for hardware certification and improve Linux testing methods.

You will build and maintain container images, automate CI/CD processes, engage with the community, and mentor junior team members in a collaborative environment.

Lead Python Software Engineer responsible for developing solutions, collaborating on designs, mentoring team members, and enhancing engineering practices.

Develop and enhance dqlite, a distributed SQLite database, including debugging, implementing features, and engaging with the open source community.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

Train LLMs to produce production-grade code by comparing and ranking snippets, repairing and refactoring AI-generated code, and injecting reviewer feedback into the RLHF pipeline. Provide clear written justifications and spot logic, performance, and security issues while working remotely as a 1099 contractor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.