Remote Software engineering Jobs • Python

We’re looking for a senior back-end engineer to join one of our core product engineering teams, responsible for shipping our protocol, API, and web and mobile apps. Your work will directly impact millions of users interacting with our products. Lead projects to build out new features in the product. Build and maintain an API used by the product as well as external partners.

Collaborate with your team to deliver new features, analyze outcomes, and make improvements. Lead projects from concept to implementation, including ongoing customer support. Become an active contributor of open source projects like Grafana Alloy and the OpenTelemetry Collector. Design, build, operate, and maintain essential systems, ensuring reliability, performance, and availability.

The AI Engineering Leader has a pivotal role in our organization, responsible for guiding the team that develops enterprise-level solutions aimed at scaling and automating value-driven outcomes for our business. The leader will oversee all aspects of AI engineering, from conceptualization to deployment, ensuring the delivery of cutting-edge solutions that meet both business and technical requirements.

Set technical vision, drive cross‑team execution, and mentor engineers while solving hard, high‑scale problems. Architect and evolve the AI platform that powers voice, text, and email products—bringing together LLMs, retrieval‑augmented generation (RAG), vector search, and multi‑tenant data pipelines to help millions of providers serve hundreds of millions of patients every day. This position will be fully remote in the US with the option to work from Lehi, UT HQ.

Design & Deploy AI Agents using the DevRev platform to solve real customer problems, integrate AI agents with external platforms for seamless workflow automation, and optimize prompts, logic, and agent configurations for accuracy, reliability, and scalability. Partner with customers to deeply understand their needs and translate them into technical agent specifications. Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback.

Build and ship high quality applications to optimize in store operations and decision making. Collaborate with your engineering teammates to support thousands of grocery stores critical fresh food supply chains across the US. Deliver great product experiences across the iPad, the web front-end, API, and data layers. Participate in and provide meaningful feedback about major design choices.

This role is central to driving the integration of advanced AI, including Generative AI, into our core platforms—enhancing decision-making, optimizing user workflows, and delivering intelligent, scalable product experiences. As a technical leader, you will architect and oversee AI solutions that span machine learning, natural language processing, and large-scale cloud infrastructure. Shaping product strategy, and leading with technical excellence, we invite you to shape the future of the energy sector with us.

The Motley Fool is seeking a Senior Python Developer to help develop APIs and microservices using Python-based frameworks. You will develop and enhance the microservices that power customer-facing investing data and tools - from real-time market data to cryptocurrencies. This is a contract role with a strong potential for a full-time salaried role down the line.

Applies knowledge of the technologies in Pathward’s technical stack to develop solutions and is responsible for working as part of a team performing all duties of software development including design, development, testing, and documentation. Develops flexible, maintainable solutions using the guidelines, requirements and standard practices and solves development problems through the use of good design and practical experience.

This role will advance Omada's platform and enablement for analytics, data science, and AI initiatives by designing and building scalable, efficient platforms and architectures. It focuses on creating the technological foundation that empowers analytics, machine learning, and data-driven decision-making across the organization, maintaining reliable infrastructure for AI/ML workloads, using MLOps/LLMOps, automation, and cloud-native technologies.