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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You will develop and integrate AI agents with memory and context management while leveraging frameworks like LangChain and LangGraph. Additionally, you will integrate LLMs with external tools and enterprise systems to build scalable, AI-powered applications.
Serve as the primary technical point of contact for merchants during night shift hours to guide them through integration and troubleshoot issues. Collaborate with Product, Engineering, and Account Management teams to solve technical problems and optimize internal documentation.
You will write elegant, performant, and well-tested code while collaborating with product and engineering teams to ship and improve commerce and fintech products. Additionally, you will act as a technical bridge between country teams and retailers to upskill internal teams on product knowledge.
The AI Evaluator will interact with various AI models to assess their capabilities, safety, and helpfulness through structured conversations. They are responsible for submitting deliverables such as ratings, write-ups, and recordings to inform model development.
You will drive the quality of automated support systems by bridging research and production to build autonomous voice and digital agents. This involves owning end-to-end problems from discovery to production deployment to improve customer interactions across West Africa.
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Design, build, and maintain scalable backend services using Python while leveraging AI tools to accelerate development. Collaborate with data and product teams to architect systems, validate AI-generated code, and ensure high-performance delivery.
The Senior Product Manager will own the end-to-end strategy, discovery, and execution of financial technology products using AI-native workflows. They will coordinate across cross-functional teams to drive product outcomes, manage roadmaps, and ensure alignment with business metrics.
The Data Analyst will identify fraud risk trends by mining operational and payment data to provide actionable insights for program design. They will also collaborate with product and engineering teams to build and maintain fraud-detection tools and improve data quality.
Lead the technical team in designing and shipping AI-powered solutions including agentic systems, predictive analytics, and diagnostic tools for humanitarian impact. Manage the full development lifecycle, establish engineering quality standards, and foster strategic partnerships with frontier AI organizations.
You will be responsible for building and maintaining a production-grade Backend for Frontend (BFF) service using FastAPI to support mobile applications. Additionally, you will act as a technical leader, collaborating with cross-functional teams and assessing existing codebases to ensure high-quality software delivery.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
You will design and deliver improvements to Wikipedia's wikitext processing infrastructure while balancing performance, maintainability, and user experience. Additionally, you will collaborate with cross-functional teams to iterate on new features and maintain internet APIs using server-side scripting languages.
The Technology & AI Adoption Specialist will drive the uptake of AI across global operations by identifying, testing, and scaling high-value use cases. This role acts as a bridge between operational teams and technical developers to ensure AI tools translate into measurable improvements in organizational workflows.
The AI Engineering Lead will design, build, and scale intelligent solutions and automated workflows to improve operational efficiency and farmer impact. They will also lead the full lifecycle of AI-enabled projects while mentoring a team of engineers to drive organizational adoption of new technologies.
Design and build reusable platform capabilities for LLM applications, AI agents, and RAG workflows. Develop secure integrations and establish standards for AI deployment, observability, and lifecycle management.
Review and verify AI training tasks to ensure accuracy and quality standards. Provide constructive feedback to trainers and report recurring error patterns to the project team.
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Review and verify AI training tasks submitted by trainers to ensure accuracy and quality. Provide constructive feedback, track error patterns, and escalate ambiguous cases to the project team.
You will design and maintain internal tooling and CI/CD pipelines to simplify infrastructure and improve developer productivity. Additionally, you will operate AWS infrastructure and apply SRE principles to ensure system reliability, security, and observability.
The Chief Learning Officer will lead a global AI learning agenda and cultivate strategic partnerships with major technology organizations to advance educational transformation. They will also manage a cross-functional AI Circle to foster collaboration and ensure ethical AI adoption across the global network.
You will interact with and evaluate AI models to assess their capabilities, safety, and helpfulness. Your tasks will involve structured conversations, voice-based interactions, and submitting detailed feedback or recordings.
The engineer will develop and maintain tools to identify and mitigate abuse across Wikimedia projects while designing privacy-conscious detection systems. They will also collaborate with cross-functional teams to create human-centered solutions that balance platform safety with free access to information.
You will lead statistical programming tasks, including developing and validating programs for clinical trial data analysis and reporting. Additionally, you will collaborate with biostatisticians to define analysis plans and ensure the accuracy of statistical outputs for regulatory submissions.
The iOS Software Engineer will own the end-to-end client experience, building a production-grade application where AI interactions are central. Key duties include designing UX patterns for AI, optimizing performance, and collaborating with backend and ML engineers on API design.
The role involves building and maintaining production-grade Android applications that integrate AI-powered features like chat, vision, and voice. You will design UX patterns for AI interactions and optimize app performance, memory usage, and stability.
The role provides administrative and operational support to the Tour Operations team, focusing on documentation, travel logistics, and system maintenance. It involves coordinating CEO relocations, managing internal resource portals, and providing after-hours emergency support.
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The Senior Data Scientist will research and develop machine learning models to solve complex healthcare challenges and improve patient outcomes. They will collaborate with cross-functional teams to integrate these models into production products and mentor junior data scientists.
Own and operate MDM platforms across ChromeOS, macOS, Android, and Linux to manage device policies and deployment pipelines. Design endpoint security integrations and establish provisioning standards for a global, heterogeneous fleet.
Manage the AI Literacy & Creator Collective programming and develop strategic partnerships with frontier AI companies. Build and scale a global community of educators across platforms like WhatsApp and Discord to foster AI adoption in education.
The role is responsible for the governance, optimization, and continuous improvement of SharePoint Online and Microsoft 365 collaboration services. It involves building scalable business applications, automating workflows, and implementing custom integrations to improve productivity and employee experience.
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