The Practical Architect is responsible for preparing detailed technical documentation and construction drawings. They will coordinate projects and collaborate closely with the design team to ensure accuracy and quality.
RYZ Labs
25 Remote Job Openings at RYZ Labs
Design and optimize data pipelines using Airflow and AWS to load data into Snowflake. Build modular dbt models and maintain the orchestration layer to ensure high-quality data delivery for analytics.
Design and ship full-stack features and integrations to deliver high-impact functionality for a scalable platform. Collaborate on technical decisions, code reviews, and engineering processes to prepare the company for Series A growth.
Design and implement server-side applications that handle complex data and integrate with various systems. Collaborate with cross-functional teams to deliver high-quality software for financial services.
Implement full-stack solutions to create and improve product features while maintaining the codebase and participating in on-call rotations. Write technical specifications and documentation while collaborating with cross-functional teams to deliver company initiatives.
Manage daily transactional workflows including collections, high-volume refunds, and bookkeeping journal entries. Provide direct support to sellers and customers regarding payment and invoicing issues while optimizing finance operations processes.
Build and maintain full-stack web applications using React and Node.js while leveraging LLMs to accelerate development. Collaborate with the team to integrate APIs and manage cloud infrastructure on AWS.
Own the engineering layer and configuration of the AI-powered application platform to ensure scalability and security. Serve as a technical advisor to non-technical stakeholders while establishing standards for AI-generated code deployment.
Develop and maintain full stack applications using .NET and modern frontend frameworks to integrate AI-powered features. Collaborate with cross-functional teams to automate workflows and improve system scalability and reliability.
Lead the strategic evolution of a staffing firm into an AI-enabled Recruitment Process Outsourcing (RPO) powerhouse. This includes securing enterprise-level contracts, optimizing AI-driven recruitment processes, and owning the division's P&L.
Design and implement production-grade LLM-powered conversational agents with advanced tool use and orchestration capabilities. Operate and deploy these systems within a production AWS environment while collaborating with internal stakeholders.
The engineer will install and configure enterprise-grade Azure monitoring and observability solutions, including log analytics, dashboards, and alert pipelines. They are also responsible for delivering comprehensive documentation and conducting knowledge transfer sessions for the client team.
The role involves owning and evolving data architecture, including ingestion, transformation, and reporting layers within a centralized cloud data warehouse. You will build scalable data pipelines, develop data quality frameworks, and partner with finance to provide actionable insights through dashboards and AI-driven workflows.
The Data Analyst will build and maintain dashboards in Sigma to support Operations, Finance, and CX teams while migrating manual reports into scalable BI solutions. They will also analyze cross-domain data to identify trends and partner with data engineers to ensure data quality and consistency.
The Data Product Analyst will own the full experimentation lifecycle, including hypothesis framing, test design, and instrumentation validation. They will also analyze user funnels and retention metrics to provide actionable insights that drive product performance and strategic decision-making.
You will ship production-ready features across the full stack and build internal AI-powered developer tools to improve team efficiency. Additionally, you will integrate LLM APIs and agentic patterns into products while maintaining CI/CD pipelines and infrastructure.
Manage complex Salesforce implementation projects across the full lifecycle while coordinating with internal teams and clients to ensure delivery excellence. Actively manage stakeholder expectations, resource alignment, and project reporting to resolve business challenges.
Design and develop scalable Salesforce solutions using Apex, LWC, and platform-native tools while integrating with external systems. Collaborate with architects to implement AI-driven features and ensure high code quality through testing and documentation.
The Product Manager will support the definition and improvement of internal processes and systems, partnering with internal stakeholders to translate needs into clear, actionable product requirements. They will help drive product and operational initiatives from concept through delivery, ensuring alignment with patient experience goals.
The role involves building agent-driven pipelines for enrollment and communication, simulating student testing for curriculum improvement, and developing automated culture/community agents.
Responsibilities also include creating real-time operational dashboards and implementing AI-first workflows to reduce administrative burdens for staff.
The specialist will be responsible for creating and refining high-quality 3D facial models in Blender, developing blendshapes for realistic expressions, and optimizing topology for real-time avatar performance.
The Senior Data Analyst will build and maintain data products using Tableau and Snowflake, applying advanced analytical methods like hypothesis testing and regression analysis to inform product and marketing strategies. Responsibilities also include developing automation using SQL/Python and workflow tools to ensure data quality and collaborating cross-functionally to translate complex data into actionable insights.
The role involves designing, building, and maintaining full-stack applications for identity and access management (IAM) experiences, while developing and integrating AI/ML models for use cases like fraud detection and risk-based authentication. Responsibilities also include leading SSO migrations, consolidating identity domains, and improving developer experience through internal tooling and APIs.
The Full Stack AI Engineer will design, build, and deploy AI/ML solutions to enhance identity experiences across platforms. Responsibilities include developing NLP models, implementing AI-powered virtual agents, and automating resolution workflows.
The engineer will design and implement AI/ML models to detect, prevent, and respond to various security threats like fraud and anomalies, while building and maintaining necessary data pipelines for model lifecycle management.
