Design and implement agentic AI systems, including tool orchestration, memory, and MCP integrations. Establish AI governance patterns and build automated evaluation frameworks to ensure reliable and scalable production AI solutions.
Remote Software Engineer Jobs (18,407)
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Develop and operate modern data architecture and intricate processing pipelines to meet business objectives. Collaborate with data scientists to implement scalable models while ensuring data governance, security, and quality.
Senior SRE / DevOps Engineer
LIMITED LIABILITY COMPANY «SILPO-FOOD»
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Full Time
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3 Days Ago
LIMITED LIABILITY COMPANY «SILPO-FOOD»
Develop and support software services for DevOps and ITOps teams while managing a global migration to native AWS services. Responsibilities include handling support escalations, conducting post-incident reviews, and maintaining mission-critical projects through automation.
Deliver end-to-end automated solutions and technical implementations of the ServiceNow platform, specifically focusing on the ITOM suite and CMDB. Lead the architecture and conversion of legacy solutions while managing development efforts and guiding junior analysts.
Own and evolve the internal AI productivity layer, including agentic workflows, custom MCPs, and accelerators. Coordinate agent development across multiple squads and maintain AI-optimized documentation.
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Design and deploy decentralized solutions for customer applications using PowerShell and distribution platforms like Intune and MECM. Manage system integration, proactive monitoring, and provide second-level support for M365 applications.
Lead the strategic development and implementation of an AI Ops platform and software development solutions. Design and customize software applications while mentoring junior staff and managing technical documentation.
Design, develop, and maintain high-performance native and cross-platform mobile applications for Android and iOS. Collaborate with cross-functional teams to implement new features and ensure adherence to UI/UX and architectural best practices.
Own end-to-end healthcare customer engagements from initial scoping and technical implementation to post-launch support. Bridge the gap between customer needs and product capabilities by developing custom solutions and surfacing repeatable patterns for the platform.
Support a high-traffic Hiring Events platform by diagnosing and resolving production issues to ensure system reliability. Partner with support teams to handle high-priority tickets and maintain platform stability through architecture updates and deployment processes.
Develop Python-based solutions and enhance Azure cloud capabilities for a leading banking client. Ensure high standards of functionality, security, and end-user experience while implementing serverless microservices.
Scale backend systems to support high-volume customers and improve overall system reliability. Collaborate with backend teams to optimize infrastructure and serve as an Incident Commander within a follow-the-sun rotation.
![Cheesecake Labs is hiring for remote [Contractor] QA Engineer (Mobile and Web)](/assets/a446884c-27e7-48c7-88c3-cbd7fc771a00.png){kind=small}
Perform exploratory, regression, and end-to-end testing for web and mobile applications while collaborating with multidisciplinary teams. Identify and document bugs and participate in product delivery discussions with international clients.
Independently challenge and validate ML models across lending, fraud, and AML to ensure soundness and regulatory compliance. Build agentic validation tooling and establish standards for overseeing GenAI and frontier AI systems.
Implement and maintain Majesco Insurance products using the ICD/ICM low-code development platform. Responsibilities include defining business process flows, configuring rules, and performing root cause analysis for data patches.
The Lead Engineer is responsible for designing scalable software solutions and developing APIs using proprietary tools and engineering best practices. They will lead stakeholder conversations, manage effort estimation, and ensure seamless deployment through CI/CD pipelines.
Build and evangelize shared frontend libraries and design systems to ensure consistency across teams. Drive frontend performance optimization by reducing bundle sizes and improving rendering efficiency.
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Lead the operational architecture, deployment strategy, and reliability engineering for integrating AI into Healthcare Information Systems. Define enterprise operational standards, govern release processes, and manage production incidents and compliance.
The engineer will design, develop, and maintain automated and manual test scripts to ensure the quality of Dexcom CGM software. Responsibilities include creating verification plans, tracking bugs, and collaborating with development teams to investigate root causes.
Responsible for the installation, commissioning, and maintenance of advanced microscopy platforms. Provides expert technical troubleshooting and training to customers to ensure peak system performance.
Lead the end-to-end delivery of internal AI-powered applications by partnering with business teams to identify opportunities and define requirements. Own the full product lifecycle from prototyping and deployment to user adoption and ongoing maintenance.
The role involves designing, documenting, testing, and debugging software systems throughout the full development life cycle. It also requires serving as a technical expert to manage user requirements, provide project estimates, and mitigate risks.
Design and maintain scalable automated testing frameworks for web applications and backend services. Collaborate with cross-functional teams to integrate automated tests into CI/CD pipelines and ensure overall product quality.
Customer Service Engineer (CT/MRI/PET-CT/X-ray/ANGIO)
United Imaging Healthcare North America, Inc.
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Full Time
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4 Days Ago
United Imaging Healthcare North America, Inc.
Provide high-level on-site service support, installation, and maintenance for diagnostic imaging equipment. Collaborate with the Customer Care Center to resolve technical issues and support new product launches in the US market.
The role focuses on developing software products, including end-user applications and enterprise data architecture. Responsibilities include writing code, supporting DevOps activities, and applying software development best practices to maintain and evolve systems.
Lead the technical development of Applied AI Engineering, focusing on LLM applications, vector databases, and agentic systems. Identify business opportunities for AI and optimize the development stack including CI/CD and validation pipelines.
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Perform installation, maintenance, and advanced technical support for transformer hardware and software in data centers and utility networks. Lead on-site projects, conduct electrical testing, and manage customer relationships to ensure grid reliability.
Collaborate with cross-functional teams to design and implement scalable backend services and high-impact features using Java and Spring Boot. Focus on writing maintainable code, integrating third-party APIs, and improving system performance through automation and refactoring.
Identify and automate manual compliance workflows by designing and shipping AI-powered features using foundation models and RAG pipelines. Own the full AI lifecycle from initial prototype and data ingestion to production monitoring and retraining.
Monitor system alerts and contact center platforms to ensure operational stability and manage incidents using structured severity frameworks. Act as a liaison between technical and business stakeholders while leveraging AI tools to streamline documentation and communication.
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