Senior software engineer (LLMs and Agentic Systems)

As a Senior Software Engineer at Nebius, your responsibilities will include designing and developing crucial infrastructure for research, optimizing LLM inference, managing data processing pipelines, and developing web services to operationalize our findings. You will also be expected to take ownership of various system components, thereby ensuring high performance and reliability across numerous parallel agent runs.

Candidates for the Senior Software Engineer position at Nebius should have a minimum of 5 years of professional software development experience, particularly in machine learning projects. Strong proficiency in Python and knowledge of contemporary software engineering practices, including CI/CD, version control, and unit testing, are essential. Applicants who can demonstrate hands-on experience with LLMs, agentic systems, and ML libraries will be at an advantage.

At Nebius, the primary programming language utilized is Python, however, familiarity with additional languages like Go, C++, and Rust is preferred. This diverse skill set can enhance collaboration within our multifaceted team and contribute to the development of robust machine learning infrastructure.

Nebius is committed to the professional growth of all its employees. As a Senior Software Engineer, you will have numerous opportunities to expand your skill set through challenging projects, collaborative teamwork, and access to innovative tools. Our dynamic work environment encourages initiative and innovation, allowing for continuous learning and personal development.

The company culture at Nebius is collaborative, dynamic, and innovation-driven. Senior Software Engineers are encouraged to take ownership of their projects while working closely with talented colleagues across the organization. We value initiative and promote a flexible work environment that supports both personal and professional growth.

In your response, showcase specific projects you have worked on, emphasizing the role you played in utilizing LLMs and developing agentic systems. Discuss challenges you faced, the solutions you implemented, and the impact of your contributions on the project outcomes.

Discuss your methodologies for identifying bottlenecks in performance, such as profiling tools you’ve used. Share examples of past optimizations you've made, including details on technologies and frameworks that were utilized, showcasing your analytical process.

Elaborate on how you’ve implemented CI/CD in previous projects, focusing on the benefits it provided, such as improving deployment cycles and maintaining high code quality. Include specific tools you’ve used and how they fit into your overall workflow.

Choose a relevant example that demonstrates your problem-solving skills. Outline the context, the challenge, the steps you took to address it, and the final outcome, highlighting lessons learned that you can apply in your role at Nebius.

Share your level of experience with these technologies, along with specific use cases. Offer insights on how you have used them in past projects related to machine learning and data processing, emphasizing your ability to analyze and manipulate large data sets.

Discuss any relevant experience working with Kubernetes, focusing on deployment strategies, scaling applications, and managing containerized workflows. Explain how this experience can contribute to Nebius's infrastructure and overall project success.

Detail your approach to code quality, which may include code reviews, testing strategies, and use of automated tools. Providing examples of how this practice has benefited past projects can help underline your commitment to high standards.

Share your strategies for continuous learning, such as following industry leaders, attending relevant workshops, or participating in online courses. Mention any recent trends in AI and ML that you find particularly exciting and how they inform your work.

Pick an example illustrating your teamwork skills, highlighting your ability to collaborate, communicate, and align with team members' diverse skills to achieve project goals. Make sure to mention your role in fostering a positive team dynamic and ensuring project success.

Reflect on your passion for the field, discussing how it fuels your curiosity and drives your desire to innovate. Illustrate your vision for using AI and cloud technologies to solve real-world problems, aligning with Nebius's mission to reshape the global AI economy.