Senior Software Engineer, AI Data

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, AI Data in Germany.

This role offers the opportunity to design and build scalable, high-performance systems that power next-generation AI data platforms. You will work on mission-critical pipelines that support large-scale model training and evaluation, impacting millions of inference calls and hours of processed data. The role combines software engineering rigor with AI-focused infrastructure, providing a chance to shape technical execution, optimize data workflows, and drive innovation in a fast-paced, high-impact environment. You will collaborate closely with researchers, platform engineers, and other stakeholders to deliver reliable, maintainable, and cost-efficient systems that accelerate AI model development. This is an ideal position for engineers who thrive in a startup-like culture where ownership, technical excellence, and measurable impact are paramount.

Accountabilities:

• Architect and implement scalable AI data infrastructure to support model training and evaluation at scale
• Build efficient, self-serve data processing pipelines leveraging cloud services and distributed systems
• Design cost-effective storage, monitoring, and resource management solutions to maximize efficiency
• Lead adoption of cutting-edge ML/AI tools and frameworks to enhance team velocity and system reliability
• Streamline workflows, introduce new tooling, and maintain high-quality documentation for engineering processes
• Troubleshoot and resolve complex technical issues while improving system performance, quality, and cost-efficiency
• Participate in on-call rotations to ensure operational reliability of AI data platforms

Requirements:

• 5+ years of professional software engineering experience with strong Python and SQL proficiency
• Solid understanding of software engineering fundamentals: data structures, algorithms, system design, architectural patterns, and testing strategies
• Experience with RESTful APIs, distributed systems, and containerization (Docker) in cloud environments
• Proven ability to deliver high-quality, maintainable code in collaborative team settings
• Strong communication and stakeholder management skills, with the ability to explain technical concepts clearly
• Startup mindset: able to navigate changing priorities, rapid iteration, and pragmatic decision-making

Preferred Qualifications:

• Experience with GCP services (BigQuery, GCS, Cloud Run, GKE)
• Familiarity with distributed processing frameworks (Apache Beam, PySpark)
• Knowledge of workflow orchestration tools (Airflow, Prefect, Dagster)
• Background in ML/AI infrastructure, monitoring tools (Datadog), or data engineering roles
• Experience collaborating directly with researchers

Benefits:

• Competitive salary with equity grants and location-adjusted compensation
• Fully remote work with flexible hours and autonomy over work-life balance
• Comprehensive employer-paid health benefits
• Access to cutting-edge AI tools and frameworks, fostering skill growth and innovation
• Collaborative, high-impact environment with opportunities to shape technical strategy
• Professional development opportunities including mentorship, training, and learning resources

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1