Remote Software engineering Jobs • Python

Looking for an Architect to join our development team, you will be dedicated to defining and building our web application working closely with Product Management and Altium platform architecture team. You will review and update product architecture, design, develop, and execute software solutions, and document every aspect of an application or software.

As a Senior Engineer, contribute valuable input on the features we develop and the technical foundations of our systems. Empathize with direct customers, and end users who will interact with the AI agents we power, to think about the best ways to solve the problems on our roadmap.

We are seeking a Senior AI Engineer, Agent Orchestration to lead the development of next-generation agentic systems that infuse Generative AI into every layer of the software delivery lifecycle. This is a hybrid role that blends full-stack engineering (Kotlin + TypeScript) with LLM systems design, focused on transforming developer workflows, CI/CD pipelines, observability, and runtime operations through AI-native automation.

Leverage AI to detect bugs, security vulnerabilities, and ship features rapidly. Empower our product, design, and engineering teams to bring AI to our customers. Iterate quickly to keep up with the pace of changes in AI research, ensuring the best experience possible within the crypto industry.

We are looking for a product-oriented Staff Software Engineer to help us advance the use of our clinical AI by building a design system and component library for user-facing products. This role presents complex clinical data and insights in an intuitive interface; a track record working with product managers and subject matter experts is required to distill complex requirements into incrementally valuable plans to build well-tailored software systems.

Support the implementation of AI-based solutions within the organization, from experimentation to the development of scalable products. Work with AI solutions and Chatbots. Develop in Python.

You'll be at the forefront of deploying AI agents that address real-world challenges, working closely with customers and software and machine learning engineers. The role involves developing intelligent AI agents, integrating them seamlessly with external systems, and offering hands-on technical support to ensure successful deployments and requires strong engineering skills, adaptability, and customer engagement.

Drive the deployment and use of cutting-edge Conversational AI solutions in customer environments. Join a world-class Customer Success team, where each individual loves to move fast, be challenged, and is constantly looking for opportunities to make customers successful. This involves setting up integrations to customer’s systems, designing and implementing Robotic Process Automation (RPA), and running health checks. Lead the charge in defining best practices for customers to get the most out of our AI solutions.

This fast-paced engineering role focuses on Linux-based software-defined infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM) and containerization (Docker, LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), up to OpenStack and Kubernetes, and the open source applications running on top of them. Resolving complex customer problems related to Ubuntu, OpenStack, or Kubernetes and other open source software, maintaining a close working relationship with Canonical's field, support and product engineering teams and participating in upstream communities are core to the job.

The Robotics Process Automation (RPA) Application Architect will be responsible for applying leading-edge principles, theories, and concepts and provide analytical support for the development of new solutions. Someone motivated to apply their skills to develop elegant, modern solutions that create great experiences for internal users and our clients. Collaborate with relevant business and technology partners across the firm to design and implement new applications using the latest tools and methodologies.