Remote | AI Platform & Integrations Software Engineer — $95–$140/hour

24-MAG is offering a specialized full-time consulting opportunity for software engineers experienced in SaaS platform development. The role involves supporting technology consulting opportunities focused on AI-native platform development, integrations architecture, and real-time analytics, contributing to end-to-end engineering work across various systems.

Responsibilities:

• 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
• 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
• 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

Requirements:

• 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
• 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
• 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