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Applied AI Engineer

Job Overview

Location

Germany

Job Type

Full-time

Category

Software Engineering

Date Posted

July 21, 2026

Full Job Description

đź“‹ Description

  • • As an Applied AI Engineer, you will turn model capabilities into real product behavior.
  • • You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.
  • • This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.
  • • You will build and ship AI features end-to-end (model → system → user experience), design and iterate on prompts, tools, memory, and agent workflows, turn raw model outputs into structured, reliable, and predictable behaviors, debug issues across the full stack (model, orchestration, infra, UX), optimize for latency, cost, and production reliability, develop lightweight evaluation frameworks to measure real-world performance, and work closely with product and engineering to translate ambiguous problems into working systems.
  • • You will work with a tech stack including Python, PyTorch / JAX, LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.), inference / serving (e.g. vLLM), and Vector DB.
  • • You will have ideal experience with a 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, and a bias toward shipping, iteration, and continuous improvement.

🎯 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.

🏖️ Benefits

  • • Competitive salary.
  • • Comprehensive benefits package.
  • • Opportunity to work with a cutting-edge AI product.
  • • Collaborative and dynamic work environment.

Skills & Technologies

Python
PyTorch
Data Science
Onsite

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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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