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Senior Artificial Intelligence Engineer

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Onsite

Senior Artificial Intelligence Engineer

Sonatus

Senior Artificial Intelligence Engineer

Skills

Google Cloud PlatformDockerPythonGolangData ScienceJavaPyTorchTensorFlowGitData AnalysisMachine LearningAIAWSKubernetesAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Ireland

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • We are seeking a highly motivated AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for high-quality implementation of an Agentic Framework to support our AI applications
  • You will be responsible for writing the production-grade code that allows our AI applications to interact with millions of vehicles in real-time
  • We need a “builder” who thrives on the technical details of multi-agent orchestration, tool-calling optimization, and LLM security
  • You will translate architectural designs into executable, high-performance systems, taking full ownership of the development lifecycle from local prototyping to global cloud deployment
  • This is a hands-on role for an engineer who prioritizes execution, code quality, and system reliability for multi-agent systems, AI technologies and platforms
  • Lead efforts to leverage existing AI models and frameworks to solve complex business challenges
  • Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks
  • Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts
  • Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution
  • Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth)
  • Strong domain expertise in the AI area including LLM, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
  • Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
  • Perform data analysis and offer insights to inform business decisions across multiple domains
  • Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information
  • Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions
  • Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations
  • Take charge of projects, ensuring timely completion in a dynamic work environment

Benefits

  • Stock option program
  • Flexible working arrangements
  • Unlimited PTO
  • Comprehensive benefits with generous allowance
  • Free in-office food & snacks!- Strong knowledge of software development best practices, version control systems, and agile methodologies
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus
  • Experience in the automotive industry is highly desirable
  • Proven experience building multi-agent systems and frameworks with adaptive orchestration
  • In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms
  • Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams
  • Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor’s degree required
  • Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments
  • Results-driven with a positive can-do attitude and excellent problem-solving skills
  • Solid experience in data preprocessing, feature engineering, and model evaluation techniques

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