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 and scale the connector ecosystem by prioritizing and managing third-party API and app integrations for AI features. Collaborate with engineering teams to define product requirements, evaluate performance, and drive the roadmap for AI-powered tools.
You will own, build, and scale your own B2B startup while receiving intensive coaching and support from serial entrepreneurs. You will iterate your product to achieve product-market-fit and build out your sales and marketing functions.
You will own, build, and scale your own startup in the Applied AI sector while receiving intensive coaching and support. You will iterate your product to achieve product-market fit and build essential business functions like sales and marketing.
Design and build machine learning models to optimize routing, travel time prediction, and traffic estimation using large-scale geospatial data. Lead the end-to-end production ML lifecycle, including model evaluation, deployment, monitoring, and collaboration with cross-functional teams.
Develop and evolve the UI for a complex AI IDE by building interactive components and workflows. Collaborate with backend and AI engineers to integrate interfaces with underlying systems while ensuring high performance and visual polish.
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You will build, maintain, and scale data scrapers and pipelines to collect financial data from various third-party sources. Additionally, you will perform technical investigations, conduct code reviews, and contribute to architectural improvements to reduce technical debt.
Design, build, and maintain production-grade React and Node.js applications while contributing to architecture and technical design decisions. Collaborate with engineering leadership to ensure system reliability, scalability, and performance within AWS environments.
Develop and maintain backends and tooling for internal ML customers, including core pipelines for offline and real-time production systems. Collaborate with ML researchers to optimize experimental pipelines and maintain inference software infrastructure.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
You will work on core Linux kernel subsystems including memory management, scheduling, and networking to optimize container isolation. Additionally, you will collaborate with upstream maintainers to merge patches and represent the company at professional Linux Foundation events.
The Business Analyst will conduct comprehensive analysis for fintech projects, including market benchmarking and stakeholder requirement gathering. They will also manage product documentation, support API/SDK integrations, and facilitate knowledge transfer across internal teams.
Take full ownership of quality assurance within cross-functional teams by designing and maintaining comprehensive test strategies. Collaborate with developers and product managers to ensure high-quality API flows and pixel-perfect web interfaces.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
Conduct detailed business analysis and market research to enhance fintech product offerings. Develop use cases, user stories, and technical documentation while coordinating API integrations with third-party developers.
Lead the technical implementation of gameplay systems and multiplayer architecture using Unreal Engine 5. Drive engineering best practices, optimize runtime performance, and mentor engineers to deliver scalable interactive experiences.
Define and evolve the architecture of a core fintech platform to ensure scalability, resilience, and maintainability. Lead architectural reviews and collaborate with stakeholders to transform business requirements into sustainable technical solutions.
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Produce 15-20 high-performing AI-driven short-form ads per week for Meta using advanced AI tools. Lead and manage a team of editors, overseeing quality control, KPIs, and hiring/firing processes.
Produce 15-20 high-performing AI-driven short-form ads per week for Meta. Lead and manage a team of editors, overseeing quality control, KPIs, and hiring/firing processes.
Create engaging on-camera video content for YouTube and X to showcase Quadcode.ai's capabilities and use cases. Collaborate with SMM and product teams to turn new AI features into viral educational content.
Develop and maintain core technical services for CCaaS telephony, focusing on call routing and media stream handling. Optimize and refactor the codebase to enable faster feature delivery and support the introduction of Telephony as a Service.
Design, develop, and support secure, high-performing backend software and APIs for a fintech ecosystem. Integrate third-party payment solutions and optimize database performance to ensure system scalability.
Design, develop, and support secure, high-performing backend software and APIs for a fintech ecosystem. Integrate third-party payment solutions and optimize database performance to ensure system scalability.
The role involves designing and implementing fraud detection and prevention flows, working deeply with risk signals, rules, scoring, and decision-making logic using SEON as a core product. Key tasks include building and maintaining anti-fraud orchestration within complex systems and making independent technical decisions on SEON integration.
The role involves developing modern full-stack applications covering frontend, backend, databases, and infrastructure, while extensively utilizing AI tools like Claude Code to accelerate development and automate workflows. Responsibilities also include building AI-powered utilities, creating AI copilots, and rapidly prototyping new product ideas into production systems.
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