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24-MAG

Remote AI Platform & Integrations Software Engineer - 95- 140 hour

Department
Engineering
Job Type / Location
remote
Experience Required
3+ years
Posted On

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, incl

View Assessment Process

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