Company Description J&W; Nexus builds technology infrastructure that enables businesses to move faster, think smarter, and operate with fewer constraints. Sitting at the intersection of technology, artificial intelligence, and automation, the company designs intelligent systems that reduce manual workload and eliminate inefficiencies. J&W; Nexus partners with organizations of all sizes and industries, from startups to large enterprises, delivering solutions with measurable impact from the start.

Headquartered in Vancouver, BC, the company serves clients locally and globally, focusing on systems that can think, adapt, and grow with changing business needs. J&W; Nexus is driven by the belief that businesses built for what comes next will lead in an AI-driven world.

Role Description The Artificial Intelligence Engineer will design, develop, and deploy AI-driven solutions that improve client operations and performance. This full time remote role involves building and training models, experimenting with pattern recognition and neural network architectures, and implementing NLP-driven features for real-world applications. Day-to-day tasks include collaborating with cross-functional teams to understand business requirements, translating them into technical solutions, and integrating AI components into existing software systems.

The engineer will also be responsible for writing clean, scalable code, conducting model evaluation and optimization,



and documenting systems for maintainability and future enhancements. Continuous learning and experimentation with new AI frameworks, tools, and methodologies are expected to keep solutions modern and effective.

Qualifications

- Solid foundation in Computer Science and Software Development, including data structures, algorithms, and modern programming languages (e.g., Python, Java, or C++).
- Experience with Pattern Recognition and Neural Networks, including designing, training, and optimizing models using frameworks such as TensorFlow or PyTorch.
- Hands-on expertise in Natural Language Processing (NLP), with experience implementing text analytics, language models, and conversational interfaces.
- Ability to architect and deploy AI solutions in production environments, including familiarity with cloud platforms (e.g., AWS, Azure, GCP) and CI/CD practices.
- Comfort working with data pipelines, APIs, and integration of AI components into existing applications or microservices.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
- Strong analytical and problem-solving skills, with the ability to translate complex business problems into technical requirements.
- Effective written and verbal communication skills, and ability to collaborate in distributed, remote-first teams.
- Experience in automation, MLOps, or building scalable AI platforms is a plus.

📌 Artificial Intelligence Engineer (Canada)
🏢 Ju0026W Nexus
📍 Canada