Backend Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Develop and maintain scalable backend systems that support AI-driven functionalities in a production setting.

• Create efficient inference pipelines, orchestration workflows, and establish service boundaries for machine learning models.

• Take responsibility for system health and observability, including performance monitoring, structured logging, alerting, and incident management.

• Enhance latency and throughput by implementing smart caching, request batching, and response streaming techniques.

• Work collaboratively with clients and machine learning engineers to provide stable, high-performance APIs for both mobile and desktop applications.

• Oversee the inference and orchestration layer that enables intelligent features across client platforms.

⛳️ Requirements

• Demonstrated experience in core backend software engineering within production settings.

• Proficient in Python and Node.js.

• Experienced in infrastructure tools such as Docker and Kubernetes.

• Practical background in building and maintaining high-throughput, low-latency distributed microservices.

• Strong understanding of contemporary AI inference methodologies, including LLMs, vector embeddings, and multimodal architectures.

• Direct experience in debugging and profiling complex distributed systems under significant load.

• Familiar with commercial AI APIs like OpenAI and Anthropic.

• Knowledge of self-hosted open-source models.

• Production-oriented mindset with a focus on deploying, monitoring live system behavior, and rapid iteration.

🏝️ Benefits

• Fully remote work environment.

• Significant equity opportunities.

• High flexibility in compensation.

• Join a small founding team with ownership of a greenfield product.

• Experience a high-impact role with tangible outcomes.

• Collaborate with top-tier engineers from leading tech companies.

• Strong culture of ownership.

• Robust reward culture.