AI Engineer (Applied AI ? Full Stack Foundations)

Job Description

About The Role Kongsberg Digital is building the AI-first future of industry . We are looking for an AI Engineer with strong computer science foundations and proven ability to design and deliver end-to-end AI solutions . The ideal candidate has solid grounding in data structures, algorithms, and system design , coupled with experience integrating AI into modern web platforms and mobile platforms. Responsibilities Design and implement scalable AI-powered features such as copilots, Retrieval-Augmented Generation (RAG), search and other AI capabilities. Build efficient end-to-end pipelines that handle large-scale industrial data with reliability and low latency. Integrate AI services into the Digital Twin ecosystem, ensuring seamless operator experiences. Apply strong problem-solving skills to optimize models and workflows for performance, efficiency, and robustness. Collaborate with AI researchers, product teams, and domain experts to translate concepts into production-ready solutions. Contribute to the continuous improvement of our AI-first industrial platform by writing clean, maintainable, and well-tested code. Qualifications Bachelor?s / master?s in computer science, Engineering, or related field. Strong foundation in data structures, algorithms, complexity analysis, and system design. Professional experience building and deploying AI/ML-driven solutions. Ability to design and implement scalable APIs and services within modern full-stack environments (MEAN stack experience is a strong plus) and for mobile as well. Knowledge of search, optimization, and applied AI techniques such as anomaly detection, recommendation, and natural language interaction. Strong problem-solving mindset, with ability to balance theoretical rigor and practical deployment needs. Experience in Industrial domains is a plus. Why Join Us At Kongsberg, you will be at the centre of transforming industrial operations with AI. You will not only integrate AI into products but also design how intelligence is experienced by operators in critical industries worldwide. Your work will have a direct impact on safety, efficiency, and autonomy in real-world environments.