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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Design, develop, and implement features to improve the speed, reliability, and scalability of the hosting platform. Manage infrastructure using Infrastructure as Code and optimize systems based on performance metrics to eliminate bottlenecks.
Design, develop, and implement features to improve the hosting platform's speed, reliability, and scalability. Manage infrastructure using Infrastructure as Code and automate manual processes to eliminate bottlenecks.
Transform raw data into actionable insights by partnering with cross-functional teams to solve business problems and drive data-informed decisions. Develop impactful dashboards and visualizations using SQL and Tableau to monitor user growth, engagement, and retention.
Serve as a technical advisor to architect and deliver secure, scalable identity and access management solutions for customers. Lead technical evaluations, workshops, and the implementation of integration strategies across major cloud platforms.
Design and implement a modular B2B SaaS suite for supply chain management in the fashion and luxury sector. Focus on creating scalable distributed architectures, managing asynchronous event-driven communication, and ensuring data consistency and security.
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Analyze real-world customer interactions and operational data from AI-powered drive-thrus to identify patterns and friction points. Document structured insights to help the product and operations teams evolve and improve the Voice AI system.
Analyze real-world customer interactions and operational data from AI-powered drive-thrus to identify patterns and friction points. Document structured insights to inform the evolution of AI systems and improve business outcomes.
Design, build, and deploy AI-powered agents and automation workflows using n8n as the orchestration layer. Integrate various LLM APIs and connect disconnected business systems like CRMs and ERPs to improve operational efficiency.
Build and evolve core AI platform capabilities to enable the scaling of GenAI-powered applications. Develop scalable tools and infrastructure for model training, serving, and data workflows to support applied scientists.
Design and build data pipelines and infrastructure to transform raw data into high-signal training sets for AI agents. Develop and optimize ML systems focusing on retrieval, ranking, and structured extraction to improve agent behavior and reliability.
Lead the design and delivery of core platform capabilities, owning end-to-end architecture and technical strategy for AI-driven knowledge systems. Mentor engineers and partner with cross-functional teams to translate product goals into scalable, reliable production systems.
Manage the end-to-end technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the end-to-end technical migration of templates to LLM autoraters using internal prompt engineering tools. This includes creating baseline prompts, supervising automated optimization, and measuring quality against human baselines using accuracy metrics.
Manage the end-to-end technical migration of templates to LLM autoraters using internal prompt engineering tools. This includes creating baseline prompts, supervising automated optimization, and measuring quality against human baselines using accuracy metrics.
Lead a team in migrating templates to LLM autoraters using advanced prompt engineering and optimization tools. Oversee the creation, testing, and refinement of prompts while monitoring model performance against human baselines.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
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Manage the end-to-end technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
Manage the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Monitor model performance against human baselines and draft technical launch readiness documentation.
The role involves managing the technical migration of templates to LLM autoraters using prompt engineering and optimization tools. Responsibilities include drafting manual prompts for edge cases, monitoring shadowbot runs, and calculating accuracy metrics against human baselines.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate chatbot responses and create prompts to improve large language models.
Contributors will annotate and label data, evaluate AI responses for quality, and create prompts to improve large language models. The role focuses on ensuring AI content is accurate, inclusive, and culturally relevant.
Contributors will annotate text, images, and audio to train AI systems and evaluate chatbot responses for quality. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Contributors will annotate and label data, evaluate AI-generated responses for quality, and create prompts to improve large language models. The role involves ensuring that AI content is accurate and reflects cultural and linguistic nuances.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate chatbot responses and create prompts to improve large language models.
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Contributors will annotate text, images, and audio to train AI systems and evaluate chatbot responses for quality. They will also create and test prompts to improve large language models and ensure cultural accuracy.
Responsible for the security and integrity of the underlying infrastructure, safeguarding the platform from vulnerabilities and threats. This includes developing vulnerability management tools and ensuring compliance with industry standards like ISO27001 and SOC2.
Responsible for the security and integrity of the underlying infrastructure, safeguarding the platform from vulnerabilities and threats. This includes developing vulnerability management tools and maintaining secure Kubernetes clusters across multiple continents.
Define and drive the long-term architectural vision and strategy across multiple products and domains at company scale. Lead cross-organizational initiatives, solve complex technical challenges, and mentor senior engineering talent to elevate technical standards.
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