Backend Engineer

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting., * Build and operate scalable backend systems that serve AI-powered features in production.

• Design high-performance inference pipelines, orchestration workflows, and clear service boundaries around ML models.
• Own system health and observability, including performance monitoring, structured logging, alerting, and incident response.
• Optimize system latency and throughput through intelligent caching strategies, request batching, and response streaming.
• Collaborate with client and machine learning engineers to deliver stable, high-efficiency APIs for mobile and desktop applications.

Do you excel at solving complex backend challenges like streaming responses, intelligent batching, low-latency caching, and API optimization under heavy load?

Are you looking for a high-impact backend role where system reliability, cost efficiency, and ultra-low latency directly drive the product experience?, * Proven background in core backend software engineering within production environments. ( Python, Node.js)

• Infrastructure Experience with Docker, Kubernetes
• Practical experience building and maintaining high-throughput, low-latency distributed microservices.
• Solid understanding of modern AI inference patterns, including LLMs, vector embeddings, and multimodal architectures.
• Hands-on experience debugging and profiling complex distributed systems operating under heavy load.
• Familiarity with commercial AI APIs (e.g., OpenAI, Anthropic) as well as self-hosted open-source models.
• Production-focused mindset with a strong bias toward shipping, observing live system behavior, and iterating quickly.

• Small founding team, building a greenfield AI email product from scratch.
• High-caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility