5 months ago
Zürich, SwitzerlandMid Level
Responsibilities
- Build and operate backend systems serving AI-powered features in production.
- Design inference pipelines, orchestration layers, and service boundaries around models.
- Own monitoring, logging, alerting, and incident response for production systems.
- Optimize latency and throughput across inference, caching, batching, and streaming.
- Maintain reliable, scalable backend systems and stable APIs for frontend and ML integrations.
- Use production behavior and real-world usage to iteratively improve performance and reliability.
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 systems.
- Ability to debug distributed systems under load.
- Ability to exercise judgment and execute independently in a fast-moving, hands-on team.
- Experience with Python, Node.js, PyTorch, OpenAI, Anthropic, open-source LLMs, SQL, NoSQL, Kubernetes, and Docker.
Benefits
- Interviews are conducted via virtual meetings and/or onsite.
- The process includes 3, but no more than 4, interviews with a prompt decision.
Categories
About Bjak
Bjak builds an online insurance marketplace for consumers in Malaysia and Southeast Asia, enabling comparison and purchase of car, health, life, and travel policies. Its business model is aggregator-based, earning commissions and fees from insurers and partners while streamlining digital applications and renewals. Founded in 2019 and headquartered in Selangor, it is privately held and is expanding from insurance comparison into broader fintech services via a planned finance super app.