Job summary
Seeking a seasoned AI/ML engineer to lead the design, development, and deployment of advanced AI systems including large language models and multi-agent architectures. The role involves collaborating cross-functionally to deliver scalable, enterprise-grade AI solutions, utilizing expertise in Python, modern ML frameworks, and cloud-native AI infrastructure. Applicants should have significant experience in AI engineering and a strong foundation in quantitative fields.
Location and work setup
- Location
- Oslo
- Work setup
- Remote
Responsibilities
Lead end-to-end architecture and deployment of scalable AI systems focused on LLMs, multi-agent systems, and retrieval-augmented generation. Serve as the main technical authority ensuring solutions meet enterprise standards. Engage in full development lifecycle from prototype to production. Support sales processes as a technical expert translating business needs into AI solutions. Establish best practices for AI operations including continuous integration, model monitoring, and evaluation. Collaborate with product and data teams to align technology with business goals and mentor junior engineers.
Qualifications
8+ years in software, data, or AI engineering with at least 3-4 years in AI/ML solution architecture and implementation. Bachelor’s, Master’s or PhD in Computer Science, Mathematics, or related quantitative discipline. Proven expertise in advanced AI technologies such as LLMs, multimodal AI, RAG, and agentic systems. Expert proficiency in Python and frameworks like PyTorch, TensorFlow, LangChain, and Hugging Face. Hands-on experience with cloud AI platforms including AWS SageMaker, Azure ML, or GCP Vertex AI. Knowledge of CI/CD pipelines, model versioning, observability, evaluation methodologies, and governance concerning security, data privacy, and ethics in AI.