Remote Software engineering Jobs • AI

Maturing Canva’s self-service data infrastructure so that domain teams can deliver high-impact outcomes, you will be building orchestration tooling with smart dependency logic and self-healing capabilities. You will be implementing observability practices and monitoring systems for proactive detection and resolution, enhancing CI/CD pipelines and aligning them with Canva’s broader tooling ecosystem. You will be shaping the roadmap for data platform services and advocating for AI integration.

This role involves application development with cutting-edge AI capabilities within ServiceNow's Digital Technology Go to Market team, building a world-class, AI-powered Go-To-Market CRM to give every seller real-time, data-driven guidance right inside the Now Platform. The role requires collaboration with product managers, data scientists, and UX engineers to ship features at SaaS speed and global scale.

In this role on the Trust team, you'll work on initiatives with impact across some of the fastest growing areas of business at Vanta, and major impact for our largest customers. You will also identify, scope, and lead large technical projects, laying the groundwork for building highly performant, reliable, and customizable systems. Influence the development of high-ROI product features and supporting infrastructure to accelerate the roadmap and land impact faster.

As a Senior Software Engineer at Vanta, you’ll set technical direction to provide a strong foundation for our infrastructure to scale with our business and drive complex projects across our technical stack while mentoring our talented engineering team, leveraging your experience to enable and accelerate Vanta’s growth.

We are looking for a Software Development Engineer II with 2–4 years of experience, including hands-on involvement in at least one AI/ML/NLP-based project. This role focuses on building intelligent internal systems that leverage AI to automate complex workflows and enhance internal efficiencies. You will be working at the intersection of backend engineering, machine learning, and platform design—crafting intelligent systems that support business operations at scale.

We’re looking for a Full Stack React Engineer who thrives in dynamic environments, values creativity, and enjoys building impactful products. You’ll play a key role in the development of our core technology, working on both the front-end and back-end, collaborating closely with our Head of Engineering and Head of Ops. This role is perfect for a self-motivated engineer who combines technical expertise with a sharp eye for product and user experience.

Apply cutting-edge AI/ML tools from industry leaders to build solutions that deliver compounding value for developers helping secure their software from vulnerabilities introduced by dependencies. The goal is to cut through the noise and make it easy to find and remediate the 2% of vulnerabilities that are actually reachable given the way our customers’ use their dependencies.

Infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. Design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. Apply AI/ML concepts to difficult problems and develop scalable solutions, creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities.

Censys is seeking a Senior Full-stack Engineer to help bring AI experiences into our ASM platform by building APIs, UI components and user experiences that will bring AI-driven experiences to life and empower security teams to defend their organizations. As a member of the ASM team, you'll leverage AI to surface meaningful insights and actions to take on customer assets.

Play a pivotal role in shaping and expanding the capabilities of the Kumo Graph Neural Network and Relational Deep Learning architecture. Drive innovative designs that enhance our GNN backbone and integrate cutting-edge temporal learning strategies. Bridge the gap between foundational models and GNNs, tackling diverse use cases like recommendation systems, customer retention, forecasting, and fraud detection. Leverage your expertise in machine learning and AI to solve critical challenges, creating scalable and adaptable solutions.