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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Lead the design, architecture, and development of native Windows desktop applications using modern frameworks like WinUI and C#. Collaborate with cross-functional teams to drive feature planning, accessibility efforts, and long-term product roadmap.
Manage and scale affiliate partner bases across various models while monitoring KPIs and optimizing performance. Maintain tracking infrastructure and support business development in launching new custom partnerships.
Build and maintain reusable AI tooling, automation, and RAG-based knowledge systems to improve internal engineering efficiency. Define and monitor secure, observable, and cost-aware patterns for AI-assisted workflows across the product lifecycle.
You will own the end-to-end fine-tuning, reinforcement learning, and evaluation stack while bridging applied research with product engineering. This involves spearheading post-training initiatives, building evaluation harnesses, and transforming complex experiments into scalable platform features.
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The Data Science Manager will lead and grow the data science team while bridging the gap between technical output and business goals. They are responsible for setting quality standards for modeling and experimentation while managing team priorities and stakeholder expectations.
You will design, build, and operate backend services that manage customer entitlements, quotas, and billing data. You will also own end-to-end data flows and execute live system migrations while ensuring high performance and reliability.
You will build and contribute to RAG system components and backend services under senior guidance while helping to integrate AI features. Additionally, you will support system deployments, write tests for evaluation harnesses, and participate in technical architectural discussions.
You will be responsible for building an acquisition strategy from scratch by running parallel experiments across various channels to identify what converts. You will also work closely with the product team to ship acquisition-focused features and maintain end-to-end funnel tracking.
You will build and deploy production-grade GenAI and agentic systems within cloud-native environments while optimizing RAG performance. Additionally, you will implement LLMOps practices, conduct model evaluations, and mentor junior team members.
The role involves owning and developing the B2B CRM and email marketing strategy across the entire customer lifecycle. You will be responsible for building automated journeys, managing lead nurturing, and optimizing campaigns in HubSpot to drive pipeline conversion.
Create high-volume, realistic, and diverse video ads using scripts, source footage, and AI-generated assets. Produce various formats including talking-head, UGC-style, B-roll-driven, and motion graphics ads.
You will own the quality measurement, testing, and improvement processes for AI products by building evaluation frameworks and automated tests. You will collaborate with engineering and product teams to identify failure patterns in AI systems and implement measurable improvements.
You will own the retrieval layer of a production AI platform, managing document ingestion, chunking, and embedding processes. The role involves building and optimizing agentic retrieval systems to ensure accurate and reliable information retrieval at scale.
You will build production AI features end-to-end, taking them from initial concept through to deployment. This involves working across the full stack, including API design, data integration, and creating streaming interfaces for document-heavy UIs.
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You will take ownership of the backend infrastructure, building APIs and data pipelines that connect AI products with LLMs. This involves managing retrieval, tool-calling, response streaming, and complex background processing tasks.
You will take ownership of the infrastructure behind a production AI platform, focusing on scalability, reliability, and security. You will influence key architecture decisions and manage the deployment of AI workloads in production environments.
The specialist will analyze client web analytics data to identify trends and anomalies while creating detailed reports. They will also collaborate with project managers to gather requirements and identify opportunities for A/B testing.
Develop and execute technical product marketing strategies for .NET developer tools including Rider and ReSharper. Create compelling content such as launch stories, blog posts, and case studies while collaborating with product and engineering teams.
You will design, build, and evolve Ruby on Rails services for a high-throughput iGaming platform while integrating AI-augmented workflows. Additionally, you will own performance and reliability, mentor mid-level engineers, and contribute to technical architecture and planning.
You will own and evolve the automated testing platform for TeamCity, focusing on building tooling and frameworks that enable product engineers to ship code confidently. Additionally, you will integrate AI into quality workflows, identify and resolve test flakiness, and mentor teams on solid test design.
The role involves conducting structured quality audits on spatial and mapping datasets to verify geographic and business information. You will perform root-cause analysis on data discrepancies and provide feedback to refine mapping algorithms.
You will design and implement AI-powered features and workflows for CLion, focusing on integrating coding agents into the C++ development environment. The role involves collaborating with cross-functional teams to define the technical roadmap and architecture for AI-assisted software development.
Develop and enhance high-performance, user-friendly interfaces for an online betting platform using React.js. Collaborate with cross-functional teams to deliver new features, perform code reviews, and optimize application performance.
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The Senior CRM Manager will generate hypotheses based on analytical data and customer journey maps to launch experiments across various CRM and on-product channels. They will also take ownership of key CRM initiatives, such as increasing retention and preventing churn, while collaborating with cross-functional teams.
You will design and implement AI-powered workflows and agent integrations for the CLion IDE to enhance C++ development. This role involves collaborating with cross-functional teams to define technical roadmaps and build evaluation frameworks for AI-assisted coding.
You will lead the development of scalable, high-performance applications using C#/.NET Core and mentor junior engineers to promote best practices. Additionally, you will collaborate with product owners to define system architecture and resolve complex performance bottlenecks.
The Senior DevOps Engineer will design and implement CI/CD pipelines while managing cloud infrastructure on AWS to ensure scalability and reliability. They will also collaborate cross-functionally to establish DevOps best practices and maintain containerized applications using Kubernetes.
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