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 AI systems using LLMs, RAG, databases, and digital avatars while optimizing pipeline architectures. Additionally, you will analyze retrieval quality and use generative AI for efficient software implementation.
The Customer Success Engineer will lead technical execution for post-sales engagements, translating customer use cases into reliable configurations and operational workflows. They will provide hands-on guidance for deployments, integrations, and automation while collaborating cross-functionally to drive technical adoption.
Design, develop, and deploy advanced machine learning and deep learning models to support mission-critical systems. Collaborate with cross-functional teams to integrate models into production while ensuring scalability and reproducibility.
You will act as the technical lead within a cross-functional pod, shaping technical decisions and guiding engineering work for core services. The role involves building and scaling backend systems while ensuring they remain performant, reliable, and aligned with the platform's long-term architecture.
You will own the model strategy for an agentic AI platform, including selecting models, designing evaluation methodologies, and building fine-tuned models. You will also ship and monitor production-grade code while diagnosing model behavior from first principles.
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Design, develop, troubleshoot, and test software applications while applying knowledge of software architecture. Build enhancements within existing systems and provide direction and mentoring to team members.
You will build and support Atlas Migration Services and tooling to facilitate data movement and disaster recovery for MongoDB customers. You will also collaborate with cross-functional teams to design features and mentor team members to drive engineering excellence.
The Staff Physical Design Engineer will drive block-level and top-level physical implementation, including floor-planning, placement, and routing. They will also manage timing closure, power grid verification, and collaborate with foundry teams to ensure successful tapeout.
Develop and maintain automated test frameworks and diagnostic systems for firmware validation and optical transceiver platform testing. Support system regression test migration and document critical system knowledge for engineering teams.
The Principal Electrical Engineer will lead the design and development of embedded hardware and custom compute-module solutions while serving as the primary technical authority. They are responsible for system architecture, schematic and PCB design, prototype validation, and mentoring engineering talent.
The role involves acting as a bridge between business stakeholders and technical teams to gather requirements and design Salesforce solutions. You will also participate in Scrum ceremonies and ensure the successful delivery of high-quality solutions within iterative sprints.
Design and implement multi-step agentic flows using LangChain and LangGraph to connect AI models with live data sources. Deploy, monitor, and instrument AI services on cloud platforms while building interactive frontend interfaces to surface AI-driven insights.
You will design and build AI-augmented dashboards and self-service analytics experiences while maintaining AI-ready data foundations. You will also partner with data engineering and business stakeholders to translate complex data insights into actionable recommendations.
The Senior Business Intelligence Analyst will transform complex data into actionable insights to support defensive and offensive business strategies. They will also lead efforts to build a trusted, AI-ready data foundation through documentation, data quality auditing, and cross-functional collaboration.
You will interact with and evaluate AI models to assess their capabilities, safety, and helpfulness. Your tasks will include structured conversations, voice-based interactions, and submitting detailed feedback or ratings.
The role serves as the first point of contact for client support requests, responsible for resolving well-defined technical issues and documenting engagements. It also involves monitoring RMM and security platforms while escalating complex requests according to defined procedures.
The Integration Developer will design, develop, and maintain enterprise integration solutions using the Apache/Kafka stack to ensure seamless connectivity between applications and data sources. They will collaborate with architecture and DevOps teams to implement scalable, secure, and event-driven integration architectures.
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The Senior Solution Architect will own and govern end-to-end SAP SuccessFactors solution architecture across implementation and transformation projects. They will lead design workshops, define architectural standards, and act as a trusted advisor to ensure alignment with business objectives.
You will own the end-to-end development of the macOS agent, including privileged system services, IPC architecture, and reliable update mechanisms. The role involves implementing TLS interception, managing system proxy configurations, and ensuring the platform remains stable alongside third-party security tools.
You will define the long-term architecture, automation strategy, and reliability goals for the entire R&D infrastructure footprint. Additionally, you will optimize production Kubernetes clusters and integrate AI-assisted tooling to drive automated incident remediation and predictive cost-optimization.
You will establish a comprehensive testing framework and release strategy to ensure reliability across web, mobile, and IoT hardware platforms. This involves converting manual validation processes into AI-assisted automated regression suites and conducting end-to-end testing for real-time ad-tech systems.
Design and develop end-to-end cloud-based data solutions while creating software artifacts to automate implementations and migrations. Manage large datasets, perform data processing analysis, and ensure the reliability and performance of data pipelines and infrastructure.
Instruct small groups of students in English core skills to improve college readiness exam scores and track individual student progress. Manage lesson schedules, maintain student accountability, and spearhead the development of creative, evolving curriculum.
The Senior SQL Server Database Administrator will manage production database operations, including performance optimization, incident resolution, and release management. They will work autonomously to ensure system reliability and perform structured root cause analysis for complex SQL Server incidents.
You will own the company's metric registry, establishing canonical definitions and ensuring they are enforceable within the semantic layer and data systems. Additionally, you will audit reporting assets, build data quality checks, and verify the accuracy of AI agents accessing company data.
Develop client-facing features with a focus on UI, animations, and polish while improving core gameplay and meta features. Oversee testing and refine existing systems based on player feedback to ensure high-quality game performance.
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Design and build highly scalable, resilient, and secure microservices and APIs while integrating business databases with advanced AI engines. Optimize backend service performance for real-time AI model hosting and collaborate with AI engineers to deploy solutions within Docker environments.
Architect and develop production-grade autonomous agents and orchestration frameworks using tools like LangChain and AutoGen. Lead technical implementation across multiple squads to ensure standardized, scalable, and high-performance AI solutions.
Lead a team of experienced SRE engineers to maintain and improve the reliability of blockchain infrastructure. Set engineering direction and foster a culture of effective reliability practices like SLOs and blameless postmortems.
The Presales Solutions Engineer will perform technical online demonstrations and customize trial portals to showcase the LMS platform. They will also collaborate with sales teams to solve integration questions and respond to technical RFIs for prospective enterprise clients.
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