Remote Software engineering Jobs • Python

The company is looking for a Midlevel AI Developer to join a Discovery team of AI Agents. This team is dedicated to innovation, focusing on Artificial Intelligence, alert engineering and testing of new technologies. You will collaborate to create MVPs and pilots that validate business hypotheses and directly impact the future of clients' products.

As a Machine Learning Engineer, you will contribute directly to our machine learning infrastructure, to the ScalarLM open source codebase, and build large-scale language model applications on top of it. You’ll operate at the intersection of high-performance computing, distributed systems, and cutting-edge machine learning research, developing the fundamental infrastructure that enables researchers and organizations worldwide to train and deploy large language models at scale.

This is a remote opportunity for a Staff Backend Engineer to take an active role in influencing our roadmap and your own career objectives. Work with your team to deliver new features, and use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers. Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability.

Design, develop, and test high quality software systems using JavaScript, React, Python and Kotlin; Create tools and libraries that provide foundational functionality for, or in support of, the web application using JavaScript and React; Maintain and improve test, build, and release pipelines; Incorporate needs and opinions from stakeholders, advocating for ideas and initiatives; Provide guidance on core application architectural decisions and driving implementation.

Design and deliver AI-driven systems that power features used by millions of users around the world, focusing on full-stack AI engineering at scale, where reliability, explainability, and security matter. Build scalable AI systems connecting models, data, and products, turn research prototypes into production-ready services, and create reusable SDKs and libraries accelerating AI adoption company-wide.

As a Software Engineer, you’ll help build and improve these systems alongside experienced engineers, designing, testing, and shipping features that put AI safely into production at global scale. You will Build and integrate AI-powered backend features that adapt and learn in production, extend APIs and data workflows that connect models to real users, and apply best practices in prompt design, orchestration, and RAG.

Be part of a small, high-impact team at an early stage, helping build AI-enabled tools that disrupt traditional e-commerce agency models. You’ll play a key role in building, scaling, and iterating on platform features that blend automation, AI, and intuitive UI/UX.

Build the backbone for next-generation, AI-powered cybersecurity. BlackCloak is pioneering digital executive protection, and they're looking for a mission-critical Full Stack Software Engineer to productionize their AI innovations. You will collaborate closely with AI engineers, software engineers, product leaders, and security experts to advance their AI roadmap, be the essential bridge between AI research and the core product, plus take advanced models and intelligent agents created by AI engineers and build robust, scalable infrastructure and APIs.

The Udacity Enterprise Engineering team is seeking Back-End Software Engineers to build and enhance our Enterprise products. You will collaborate closely with Product, Design, and Operations teams to create and improve cutting-edge systems that empower customers, mentors, staff, and students. Your work will play a pivotal role in delivering robust, scalable, and high-performance applications that support a personalized and seamless learning experience.

Drive business growth by building and optimizing the recommendation systems that personalize experiences for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. This role gives you the chance to work on systems serving 100M+ predictions daily, directly impacting engagement, retention, and revenue at scale.