
Backend Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Poland.
• Develop and manage scalable backend systems that provide AI-powered functionalities in a production setting.
• Architect high-performance inference pipelines, orchestration workflows, and service boundaries surrounding machine learning models.
• Take responsibility for system health and observability, which includes performance monitoring, structured logging, alerting, and incident response.
• Enhance system latency and throughput through intelligent caching, request batching, and response streaming strategies.
• Work collaboratively with clients and machine learning engineers to deliver robust, high-efficiency APIs for both mobile and desktop applications.
• Manage the inference and orchestration layer that drives intelligent features across client platforms.
• Demonstrated experience in core backend software engineering within production settings.
• Proficiency in Python and Node.js.
• Familiarity with infrastructure tools such as Docker and Kubernetes.
• Practical experience in building and maintaining high-throughput, low-latency distributed microservices.
• Strong understanding of contemporary AI inference patterns, including LLMs, vector embeddings, and multimodal architectures.
• Hands-on experience with debugging and profiling complex distributed systems under heavy loads.
• Knowledge of commercial AI APIs like OpenAI and Anthropic.
• Experience with self-hosted open-source models.
• Production-oriented mindset with a strong inclination towards shipping, observing live system behaviors, and rapidly iterating.
• Must reside in Europe.
• Fully remote work environment.
• Attractive equity opportunities.
• Flexible high compensation.
• Chance to be part of a small founding team creating a greenfield AI email product from the ground up.
• Access to a high-caliber engineering team.
• Significant ownership and visible impact on projects.
• Work with a global team.
• Complete human-reviewed candidate selection process without the use of automated screening algorithms or AI-driven scoring.
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