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 design and scale production machine learning systems for LLM-based applications while managing training, evaluation, and deployment pipelines. Additionally, you will optimize inference performance and mentor a high-caliber engineering team to ensure system reliability.
The Lead Engineer will identify, document, and resolve production issues while ensuring software quality through rigorous testing practices. They will collaborate with cross-functional teams to prioritize fixes and provide actionable insights to improve product performance.
Drive CEO-level priorities from problem definition to execution across product, hiring, and market expansion. Manage daily operating rhythms, track OKRs, and resolve cross-functional execution gaps.
Interview Engineers facilitate technical interviews with software developers globally using Karat's platform. They are responsible for evaluating candidate performance, coding style, and technical knowledge while ensuring an inclusive and objective hiring process.
Review AI-generated transcripts to ensure they are readable by applying correct punctuation, capitalization, and formatting rules. Maintain the original wording while normalizing text for numbers, dates, and currencies.
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Drive CEO-level priorities by managing execution across product, hiring, licensing, and partnerships. Identify execution gaps and ensure cross-functional teams meet deadlines and strategic objectives.
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 client needs.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists to optimize infrastructure and develop a dataset roadmap for next-generation AI products.
Lead the design, architecture, and development of native Windows desktop applications using the Windows App SDK and related frameworks. Collaborate with cross-functional teams to drive feature planning, accessibility efforts, and long-term technical roadmaps.
You will build and maintain foundational services and SDKs that power the product experience across platforms. You will also collaborate with product teams to scope projects and optimize functionality through efficient abstractions and algorithms.
You will own the end-to-end product lifecycle for a technical vertical, balancing strategic priorities with complex system design and regulatory constraints. You will collaborate across engineering, compliance, and operations to ship AI-driven financial features while ensuring system reliability and correctness.
The Technical Product Manager will own a product vertical end-to-end, managing strategy, technical design, and delivery for AI-driven financial applications. They will align cross-functional teams including engineering, compliance, and operations to ensure reliable, regulatory-compliant product launches.
The Technical Operations Engineer will execute mobile device testing, provisioning, and lifecycle updates while maintaining customer accounts. They will also contribute to process improvements by testing new automation and GenAI tools to enhance operational efficiency.
The Technical Support Engineer will resolve complex technical issues across production environments and manage customer cases from a global queue. They will also collaborate cross-functionally to improve product quality and maintain comprehensive knowledge base documentation.
You will own product areas within the AI Stockbroking team, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
The engineer will convert manual test cases into automated scripts using ACCELQ and execute various automation suites including smoke, regression, and UAT. They are also responsible for maintaining reusable modules, troubleshooting script failures, and providing detailed execution logs to stakeholders.
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The Technical Lead is responsible for the technical direction and execution of major products and systems, including hands-on design and coding. They will drive architecture decisions, mentor engineers, and ensure high engineering standards across the development lifecycle.
You will lead the product direction, roadmap, and execution for major features within the AI Investing App. This involves guiding cross-functional teams and ensuring high-quality product delivery across various financial service workstreams.
Lead product direction and execution for major areas of the AI Neobank app across multiple squads. Define roadmaps, product standards, and success metrics while guiding cross-functional teams to deliver high-quality financial features.
You will lead the product direction and execution for major areas of the AI Stockbroking app, defining roadmaps and success metrics. You will guide cross-functional teams including designers and engineers to deliver high-quality financial product features.
You will lead product direction and execution for major areas of the AI Neobank app, defining roadmaps and success metrics across multiple squads. You will guide cross-functional teams to deliver high-quality financial features while balancing regulatory constraints and user value.
The Product Manager will own specific product areas within the AI Stockbroking App, defining user problems, roadmaps, and launch plans. They will collaborate with engineering, design, and business teams to turn complex financial products into simple, usable customer journeys.
You will own product areas within BJAK's AI Investing, defining user problems, roadmaps, and launch plans. You will collaborate with engineering, design, and operations teams to turn complex financial products into simple, usable customer journeys.
You will own product areas within the AI Neobank app, defining product direction, scope, and roadmaps. You will collaborate with engineering, design, and operations teams to launch features and improve customer journeys based on data and user feedback.
You will own product areas across financial services, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and drive iterative improvements based on data and user feedback.
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You will own product areas across financial services, defining user problems, roadmaps, and launch plans. You will collaborate with engineering, design, and operations teams to turn complex financial products into simple, usable customer journeys.
You will own product areas within AI Investing, defining user problems, roadmaps, and success metrics while collaborating with engineering and design teams. You are responsible for turning complex financial products into simple customer journeys and driving iterations based on data and user feedback.
You will own product areas within the AI Finance division, defining roadmaps, success metrics, and user journeys. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will own product areas across financial services, defining user problems, roadmaps, and launch plans. You will collaborate with engineering, design, and operations teams to turn complex financial products into simple, usable customer journeys.
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