Remote Software engineering Jobs • NLP

TELUS Digital seeks a talented AI Engineer, driven to implement autonomous, intelligent, and analytical AI solutions that address complex business challenges. Your role is essential in bringing sophisticated GenAI and Software Engineering concepts and architectures into tangible, production-ready applications, enhancing digital products through autonomy, intelligence, and real-time adaptation.

We're actively looking for a highly experienced Senior Staff AI Engineer to join our team. You will play a pivotal role in designing, building, and deploying cutting-edge AI systems that power mission-critical enterprise applications. This role is ideal for an individual who thrives in ambiguity, is deeply technical, and has a strong product sense paired with deep expertise in foundational models and enterprise AI systems.

In this role, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.

The role focuses on applied algorithms and engineering — using recent advances in DL/LLMs to develop new features and products. This role provides an opportunity to work on cutting-edge LLM technologies, deploy impactful solutions in production, and shape the future of AI-driven features and products at Gloass.ai.

We’re looking for an AI Engineer to help build scalable AI-powered systems using Large Language Models (LLMs) for document understanding, retrieval-augmented generation, and intelligent classification tasks. This is a hands-on role ideal for someone who thrives on shipping real-world AI applications. You’ll play a key part in designing and optimizing LLM pipelines that drive smarter workflows, improve automation, and enhance the customer experience.

The Senior Machine Learning Engineer at Headspace will lead the development of complex, scalable AI models and applications from inception to production. You'll drive impactful ML technology initiatives that will shape the delivery of and access to mental healthcare, while also providing technical leadership and promoting high-quality code through engagement in code review.

You will play a key role in supporting teams of applied scientists and ML developers who train, evaluate, and use a variety of NLP models, including LLMs. Your mission is to contribute to prototyping, productionizing, and maintaining the NLP technologies that power some of Coveo's most visible AI capabilities. Participate directly in every aspect of NLP technology delivery.

As an AI Engineer, you will work closely with Senior AI Engineers and MLOps/Data Engineers to develop, deploy, and optimize AI models that power our next-generation security products. This is a hands-on engineering role, requiring expertise in machine learning model development, deployment, and optimization. You will contribute to multiple AI initiatives, ensuring that models are efficient, scalable, and production-ready.

As a Lead AI Engineer, you’ll play a critical role in building and scaling intelligent systems that serve millions across the region. This is a hybrid role based in Malaysia, combining deep technical expertise with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring.

This position will play a key role in applying state-of-the-art machine learning and AI techniques to enhance automated accessibility testing, drive intelligent analysis of scan results, and develop algorithms that add value to our product suite. The ideal candidate would have experience deploying ML models in production environments, preferably in the domains of computer vision, and NLP.