We are sharing a specialised full-time consulting opportunity for software engineers experienced in SaaS platform development, backend and frontend engineering, API integrations, real-time dashboards, agentic workflows, MCP-style architectures, and production-ready technical delivery. This role supports current and upcoming remote technology consulting opportunities focused on AI-native platform development, integrations architecture, real-time analytics, agentic tool-use workflows, product launch support, and high-quality software execution. Selected professionals will contribute to end-to-end engineering work across platform foundations, data models, APIs, dashboards, workflow systems, and integration layers. Key Responsibilities Professionals in this role may contribute to: AI-Native Platform Development • Build core platform foundations including entities, workflows, permissions, multi-tenant structures, and production-ready application features • Ship end-to-end product functionality across backend and frontend systems • Develop scalable data models, APIs, user-facing workflows, and internal product surfaces • Support pilot launches through hands-on implementation, debugging, iteration, and user-driven improvements Integrations, APIs & Agentic Tool Architecture • Design and implement integration layers connecting common business tools, external APIs, event ingestion systems, sync workflows, and action frameworks • Work with OAuth2, webhooks, API pagination, rate limits, sync semantics, connector design, and integration reliability • Build MCP-compatible or MCP-style tool interfaces, tool registries, runtime patterns, permission layers, and observability flows • Support agentic workflows that allow software systems to interact safely and reliably with external tools Analytics, Engineering Quality & Technical Delivery • Build real-time analytics dashboards with live metrics, drill-downs, exports, and stakeholder-facing reporting surfaces • Set up strong engineering hygiene including testing, observability, deployment readiness, and pilot-stage reliability • Review technical tradeoffs, unblock implementation issues, and communicate clearly with stakeholders • Maintain high standards for correctness, maintainability, speed, and practical product execution Ideal Profile Strong candidates may have: • Strong practical software engineering experience with the ability to ship end-to-end product features • Experience building SaaS products with APIs, data models, authentication, production constraints, and user-facing workflows • Deep comfort with integrations, including OAuth2, webhooks, third-party APIs, rate limits, event ingestion, and data sync logic • Familiarity with backend and frontend engineering across modern web application stacks • Comfort using AI-assisted development tools effectively while maintaining strong judgment around tests, interfaces, and guardrails • Clear communication skills and ability to explain technical tradeoffs to product, engineering, and stakeholder teams Educational Background • A degree or professional background in computer science, software engineering, computer engineering, information systems, data systems, or a related technical field is helpful • Equivalent practical experience in SaaS engineering, platform development, integrations engineering, full-stack development, backend systems, or AI-native product work is also highly relevant Nice to Have • Experience with MCP-style tool interfaces, tool servers, agent frameworks, workflow automation, or AI-native product architectures • Familiarity with React, Node.js, Python, TypeScript, Next.js, FastAPI, PostgreSQL, cloud platforms, Docker, CI/CD, observability tools, or modern SaaS infrastructure • Experience building dashboards, analytics surfaces, integration frameworks, event-driven systems, or multi-tenant platforms • Background in startup engineering, product engineering, platform teams, developer tools, internal tools, or AI workflow products • Strong attention to detail in fast-moving, production-focused, integration-heavy software environments Why This Opportunity • Apply software engineering expertise to AI-native platform and integrations development • Contribute to high-quality SaaS infrastructure, real-time dashboards, agentic workflows, and production product delivery • Work on remote technical assignments aligned with modern AI and platform engineering practices • Use your engineering judgment in a focused, fast-moving product development environment • Remote structure with competitive hourly compensation Contract Details • Full-time consulting-style engagement • Fully remote role • U.S.-based professionals preferred depending on project requirements • Competitive rates between $95–$140 per hour depending on expertise • Weekly payments via Stripe or Wise • Projects may be extended, shortened, or adjusted depending on scope and performance • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. 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