Full Stack Engineer - Radiance
Architect and evolve The SOURCE platform from an internal system into a scalable SaaS product. Translate creative workflows and brand logic into technical systems while integrating AI and automation tools.
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Architect and evolve The SOURCE platform from an internal system into a scalable SaaS product. Translate creative workflows and brand logic into technical systems while integrating AI and automation tools.
Review and evaluate AI-generated outputs for accuracy, clarity, and cultural appropriateness in Luxembourgish. Provide structured annotations and corrections to improve AI model performance across text and multimedia content.
Design, build, and maintain scalable cloud infrastructure on GCP using Kubernetes and Terraform. Establish observability, manage CI/CD pipelines, and lead incident response to ensure system reliability and security.
Design and deploy AI-powered internal applications, copilots, and scalable workflow accelerators using Generative AI. Build reusable AI components and retrieval pipelines while maintaining statistical models to support organizational automation and optimization.
Lead the end-to-end delivery of high-priority strategic AI initiatives and drive AI adoption across the organization. Coordinate cross-functional stakeholders to align resources and ensure data-driven decision making is embedded in product delivery.
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Responsible for the installation, troubleshooting, and preventative maintenance of Beckman Coulter equipment to ensure optimal performance. This includes providing technical training to customers and maintaining accurate service records using business systems.
Design and develop software to solve Workload Identity challenges from prototyping to production. Act as the technical lead by guiding the team, mentoring engineers, and collaborating with stakeholders to define technical priorities.
Conduct comprehensive safety engineering analyses, including PHAs, SHAs, and SOHAs, to ensure compliance with MIL-STD-882E for the SLCM-N program. Integrate safety requirements across the entire DoD acquisition lifecycle and provide oversight for vendor safety activities.
Transform data into actionable insights by building self-service dashboards and data models to support data-driven decision-making. Collaborate with stakeholders to translate business requirements into BI products and provide ad-hoc analysis for leadership.
Design and implement intelligent conversational agents using agent-based architectures and LLMs. Integrate these agents with corporate systems, REST APIs, and cloud environments like GCP Vertex AI while ensuring scalability and quality.
Design, build, and maintain scalable backend services and distributed systems using Java and Python. Take full ownership of features from design to optimization while leveraging AI-assisted tools to accelerate delivery.
Review and refine AI-generated content regarding eIDAS2 and Qualified Electronic Signatures to ensure technical and regulatory accuracy. Develop realistic scenarios and workflows to train AI systems on digital identity and trust services.
Review and enhance AI-generated content related to employer branding, EVP, and candidate experience to ensure strategic clarity. Draft authentic branding scenarios and identify gaps in AI-produced materials to improve the model's understanding of branding processes.
Review and enhance AI-generated content regarding infrastructure optimization and systems architecture to ensure technical accuracy. Develop practical use cases and provide actionable feedback to improve how AI reasons about operational challenges.
Review and refine AI-generated content regarding eIDAS2 and Qualified Electronic Signatures to ensure technical and regulatory accuracy. Develop realistic scenarios and workflows to train AI systems on digital identity and trust services.
Review and refine AI-generated content and workflows related to system operations and automation. Develop real-world use cases and provide actionable feedback to improve AI reasoning in operational scenarios.
Review and refine AI-generated content and workflows related to system operations and automation. Develop real-world use cases and risk assessments to improve how AI models reason about operational challenges.
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The role involves interacting with stakeholders to gather and analyze business requirements and translating them into functional specifications and user stories. The analyst will oversee the implementation of Power Platform solutions, conduct UAT, and maintain project documentation.
Design, develop, and maintain scalable data pipelines to integrate data from various source systems like ERP and MES. Collaborate with architects and scientists to transform raw data into high-quality data products for business decision-making.
Act as the first point of contact for APAC customers to resolve API, onboarding, and billing issues. Escalate complex technical problems to senior engineering teams and contribute to developer documentation and community growth.
Act as the first point of contact for EU customers to resolve API, onboarding, and billing issues. Escalate complex technical problems to senior engineering teams and contribute to developer documentation and community growth.
Design, prototype, and deploy AI-driven solutions using LLMs and agentic workflows to improve operational efficiency. Integrate various enterprise platforms and collaborate with stakeholders to identify and implement high-impact AI use cases.
Identify and acquire new life sciences customers in China, focusing on those interested in the European market. Build strategic long-term relationships and collaborate with internal experts to provide high-value services.
Contribute to the certification of safety-critical avionics systems by developing Quality Assurance Plans and performing compliance audits. Support certification activities (SOI-1 through SOI-4) and maintain QMS systems in accordance with industry standards.
Drive sales of concrete admixtures through hands-on product demonstrations and the development of strong relationships with key decision-makers. Manage a robust customer pipeline and provide market intelligence to support product innovation and strategy.
Lead end-to-end AI tasks and guide the engineering team's architecture to improve scalability and stability. Collaborate with product teams to translate business needs into efficient, maintainable, and creative technical solutions.
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Build and maintain core back-end systems including notification engines, data pipelines, and AWS infrastructure. Design secure, scalable services and implement MCP servers for agent-readiness.
Design and implement a multi-agent AI architecture for an automated video production system. Orchestrate complex workflows using n8n to integrate multimodal tools for scripting, editing, and synthesis.
The role focuses on driving the strategic shift from traditional SEO to AI-driven visibility for C-level executives through technical validation and storytelling. You will act as a force multiplier for Account Executives by managing POCs and integrating Semrush data into enterprise digital experience stacks.
Design, develop, and maintain scalable features across the full stack for a Legal Tech SaaS platform. Collaborate with cross-functional teams to drive technical decisions and mentor junior developers to ensure high code quality.
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