Scania Group

AI Engineer – Software Development Toolchain Platform

Scania Group

full-time

Posted on:

Origin:  • 🇸🇪 Sweden

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformGrafanaJenkinsKubernetesPythonPyTorchTensorflow

About the role

  • Role summary: Integrate AI into the software development toolchain to enhance developer productivity, automation, and workflows
  • AI-Driven Enhancements: Design, build, and integrate AI-powered features (code suggestions, automated reviews, test case generation, anomaly detection in pipelines)
  • Toolchain Integration: Embed AI capabilities into CI/CD systems, code repositories, build tools, and developer platforms
  • Data Engineering for AI: Collect, clean, and prepare data from commits, builds, tests, deployments, and logs for model training and inference
  • Model Development: Train, fine-tune, and deploy ML/LLM models to improve efficiency, quality, and developer experience
  • Platform Engineering: Collaborate with platform and DevOps engineers to ensure scalability, reliability, and security of AI-enabled services
  • Research & Innovation: Stay up to date with AI/ML advancements and propose innovative applications for the developer ecosystem
  • Collaboration: Work closely with software developers, DevOps, product managers, and architects to identify opportunities where AI can add value

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, or related field
  • Strong programming skills in Python
  • Experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
  • Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques
  • Knowledge of CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, etc.)
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Understanding of how AI can enhance IDEs, code quality, testing, and release processes
  • Experience with data pipelines, feature engineering, and working with structured/unstructured datasets
  • Hands-on experience with at least one major cloud provider (AWS, Azure, GCP) and their AI/ML services
  • Background in developer productivity, DevOps, or platform engineering
  • Strong problem-solving ability, curiosity, collaboration skills, and a drive for innovation
  • Preferred: contributions to open-source AI/DevOps projects, experience building developer productivity tools, knowledge of LLMOps/MLOps practices, understanding of security and compliance for AI-enabled developer platforms