3 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
Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insurance platform in Southeast Asia. If you enjoy building cutting edge platform-ecosystems that gives equal access to financial services to everyone at scale, join us.