Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Own the end-to-end technical direction for offline video generation, bridging the gap between pre-training and post-training. Partner with research leadership to define long-term roadmaps and accelerate the delivery of research capabilities into the final product.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Responsible for the sales and development of Cloud solutions (MSP, Public Cloud, PaaS) within the partner channel. This includes building new partnerships, advising partners on positioning, and identifying new market use cases to drive growth.
Develop complex backend components using Java and Spring Boot while designing resilient microservices. Perform software quality assurance through integration and performance testing and manage deployment via Docker containers.
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Provide executive leadership for Quality Assurance and Regulatory Compliance within the Clinical Pharmacology Services business unit. Lead the design and implementation of audit, inspection readiness, and quality oversight programs across global clinical pharmacology units and GMP pharmacies.
Lead the end-to-end delivery of AI and automation initiatives to scale CX operations and reduce manual friction. Build and maintain technical integrations and AI agents while documenting systems and tracking success metrics.
Build and maintain data pipelines for collecting, transforming, and integrating data from various sources. Ensure efficient data enablement and reporting solutions through the deployment of scalable data products.
The role involves designing high-quality data models and architectures to ensure data consistency and reliability for AI and BI solutions. Responsibilities include defining data quality rules, moderating client workshops, and automating data quality processes across the value chain.
Build a commercial offering for ingesting, indexing, and querying multimodal data at scale for physical AI. Develop data infrastructure and tools for extraction, storage, and visualization of temporal multimodal data.
Own and operate the production system end-to-end, focusing on automating manual work and designing a scaling roadmap. Establish CI/CD pipelines, observability stacks, and infrastructure-as-code to ensure system reproducibility.
Modernize legacy services using AI to analyze codebases and implement migration patterns like the strangler fig. Build AI-powered development infrastructure, including MCP servers and automated CI/CD pipelines for code review and testing.
Review and refine AI-generated analytics strategies, dashboards, and reports to ensure accuracy and real-world value. Develop industry-specific case studies and provide structured feedback to guide AI models in advanced analytics concepts.
Review and refine AI-generated marketing strategies, content, and analyses to ensure they meet best-in-class industry standards. Develop real-world case studies and provide structured feedback to guide AI models in understanding complex marketing concepts.
Review and enhance AI-generated content regarding sales strategy, customer engagement, and pipeline management. Develop realistic sales cases and provide actionable feedback to improve AI reasoning and decision-making.
Review and refine AI-generated outputs regarding software engineering and system architecture. Develop real-world case studies and provide structured feedback to improve AI-driven technical recommendations.
Review and refine AI-generated legal and notarial content to ensure accuracy, completeness, and compliance. Create real-world scenarios and provide structured feedback to improve AI models' understanding of notarial workflows.
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Review and refine AI-generated outputs related to treasury analysis, cash management, and risk assessment. Develop real-world case studies and scenarios to improve how AI systems interpret treasury best practices.
The role involves designing and developing new software components using .NET Core and continuously improving existing web applications. The developer will work across both backend and frontend to create scalable and performant logistics solutions.
Design and implement robust, scalable backend solutions and APIs for an AI-driven property inspection SaaS platform. Responsibilities include writing clean code, automating workflows, and maintaining comprehensive technical documentation.
Design and develop fullstack services focused on exceptional user experience and digital accessibility. Build and maintain frontend interfaces using React and backend infrastructure using AWS Lambda and various databases.
Design, build, and scale a B2B SaaS platform while maintaining modern software architectures and backend services. Provide technical leadership by mentoring junior developers and contributing to strategic technical decisions.
Lead the backend guild in developing new features for the NDR product and guiding architectural decisions. Mentor team members and implement performant, maintainable code for both the GUI and analytics backend.
Review and refine AI-generated outputs related to enterprise sales and business development to improve model accuracy. Develop real-world case studies and provide actionable feedback on AI-driven sales strategies and contract negotiations.
Review and refine AI-generated content regarding data architecture and system design to ensure industry relevance. Draft realistic architectural scenarios and provide structured feedback to improve AI reasoning and accuracy.
Deliver engaging online Python lessons to children aged 10-14 using provided materials. Provide regular progress reports and feedback to improve the learning experience.
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Responsible for the design, implementation, and operation of modern AI solutions across the entire lifecycle. This includes developing end-to-end ML pipelines and integrating AI results into frontends and dashboards.
Take end-to-end responsibility for critical reliability areas, driving the architecture of cloud infrastructure on Azure and Kubernetes. Lead incident management, mentor team members, and develop the observability stack and IaC platform for high availability.
Integrate sensors and subsystems into UAV platforms and perform flight tuning and stabilization. Conduct on-site flight testing, troubleshoot system-level issues, and manage ArduPilot-based flight control systems.
Responsible for the technical integrity of Dynamics 365 Finance & Supply Chain Management, ensuring stable operations and continuous development. The role involves acting as a technical advisor to customers and driving improvements in architecture, integrations, and AI implementation.
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