Backend Engineer, AI

Location: Remote from Germany

Company

Building proactive AI-native applications that help users organize conversations, errands, workflows, and everyday life with minimal prompting.

What you will do

• Build and operate backend systems that serve AI-powered features in production.
• Design inference pipelines, orchestration layers, and service boundaries around AI models.
• Develop fast, stable, and observable APIs for mobile and desktop clients.
• Own monitoring, logging, alerting, and incident response for production systems.
• Optimize latency and throughput across inference, caching, batching, and streaming.

Requirements

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns, including LLMs, embeddings, and multimodal models.
• Ability to debug distributed systems under load.
• Experience with Python, Node.js, PyTorch, SQL, NoSQL, Kubernetes, and Docker.
• Bias toward shipping and learning from production behavior.

Culture & Benefits

• Work with a small, high-talent-density, hands-on team.
• Make decisions collectively while moving at a rapid pace.
• Balance high-quality delivery with learning from real production usage.
• Work independently, exercise judgment, and bring structure to complex problems.
• Interviews are conducted via virtual meetings and/or onsite sessions.

Hiring process

• Complete 3, and no more than 4, interviews if the initial evaluation indicates a fit.
• Applications are evaluated by technical team members.
• Expect a prompt hiring decision after the interview process.