United States onlyWe 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. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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