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Applied AI Engineer

Job Overview

Location

Zurich, Switzerland

Job Type

Full-time

Category

Software Engineering

Date Posted

May 26, 2026

Full Job Description

đź“‹ Description

  • • Build and ship AI-powered features end-to-end, from model behavior design to system implementation and user experience delivery.
  • • Design and iterate on prompts, tool usage, memory systems, and agent workflows to enable reliable multi-step reasoning and task completion.
  • • Transform raw large language model outputs into structured, predictable, and production-ready behaviors that handle real-world variability.
  • • Debug and resolve issues across the full stack, including model performance, orchestration logic, infrastructure, and user interface.
  • • Optimize systems for latency, cost efficiency, and production reliability under non-deterministic model behavior conditions.
  • • Develop lightweight evaluation frameworks to measure real-world performance and drive iterative improvements based on user data.
  • • Collaborate closely with product and engineering teams to translate ambiguous, high-impact problems into functional, reliable AI systems.
  • • Ensure ML models in production meet defined targets for accuracy, latency, and reliability across diverse user scenarios.
  • • Identify, diagnose, and address production issues quickly with root-cause analysis and sustainable fixes.
  • • Maintain robust, reproducible, and maintainable data pipelines, training loops, and inference systems that support continuous deployment.
  • • Work across abstraction layers—from model architecture to infrastructure to product interface—with equal fluency and ownership.
  • • Drive continuous improvement through a bias toward shipping, iteration, and measurable outcomes over theoretical perfection.
  • • Contribute to a small, high-performing team that values collective decision-making, rapid execution, and independent judgment.
  • • Deliver AI features that enable proactive, persistent, and context-aware assistance for everyday tasks including conversations, errands, organization, and workflows.
  • • Ensure system reliability despite non-deterministic model behavior by implementing guardrails, fallbacks, and monitoring mechanisms.
  • • Integrate with external tools and APIs to extend AI capabilities into real-world workflows and user environments.
  • • Leverage vector databases and modern inference serving systems (e.g., vLLM) to support scalable, low-latency AI interactions.
  • • Apply Python, PyTorch, and JAX to prototype, train, fine-tune, and deploy neural network models in production settings.
  • • Work with open and proprietary LLMs including OpenAI-style APIs, LLaMA, Qwen, and similar architectures to align model behavior with product goals.
  • • Participate in a transparent, efficient interview process with technical team members, involving virtual and/or onsite meetings.
  • • Contribute to building a truly magical AI product that delivers practical, daily value to billions of users globally.

🎯 Requirements

  • • Strong foundation in machine learning and modern neural network architectures
  • • Hands-on experience with training, fine-tuning, or deploying ML models
  • • Ability to write clean, production-quality code
  • • Comfort working across abstraction layers (model → infra → product)
  • • Strong problem-solving skills in ambiguous, fast-moving environments
  • • Bias toward shipping, iteration, and continuous improvement

🏖️ Benefits

  • • Opportunity to build a truly magical AI product used by billions globally
  • • Work in a small, world-class team with collective decision-making and rapid execution
  • • Transparent and efficient interview process with prompt decisions
  • • Direct impact on product reliability, user experience, and real-world AI adoption
  • • Collaborate with engineers, product, and research teams to deliver ML-powered features
  • • Join a team focused on practical AI benefits beyond demos, in everyday user workflows

Skills & Technologies

Python
PyTorch
Data Science
Onsite

Ready to Apply?

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Bjak Sdn. Bhd. logo
Bjak Sdn. Bhd.
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About Bjak Sdn. Bhd.

Bjak operates Malaysia’s largest digital auto-insurance marketplace, enabling instant price comparison and online purchase of motor coverage from leading insurers. The platform uses proprietary technology to simplify complex tariffs, deliver personalised quotes and e-policy issuance within minutes, eliminating paperwork and agent visits. Licensed by Bank Negara Malaysia, Bjak also offers road-tax renewal, accident assistance and claims support, serving millions of drivers nationwide while partnering with insurers to increase digital distribution efficiency and customer reach.

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