Software Engineer (AI-Native Platform & Integrations)

About this role

**About Mercor’s talent network** **This is an open application for future contract opportunities that match your background and interests.** Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. **Role Overview** We’re building an **AI-native platform** that replaces spreadsheet-driven operations with **real-time dashboards** and **agentic workflows**. This engineer will own core product delivery end-to-end: platform foundations, integrations, analytics surfaces, and the pilot launch. **What you’ll build** - **AI-native platform** (core entities, workflows, permissions, multi-tenant foundations) - **Omni-tool integration layer** (connectors to common tools; event ingestion; sync; actions) - **Real-time analytics dashboard** (live metrics, drill-downs, exports) - **MCP-compatible agentic integration architecture** (tool registry, permissions, runtime, observability) - **Pilot launch support** with hands-on technical execution (shipping, debugging, iteration with real users) ### **Responsibilities** - Ship production features across **backend + frontend**. - Design and implement a **scalable integrations framework** - Build **real-time analytics** experiences - Architect an **agentic tool-use layer** compatible with MCP-style patterns - Set up strong engineering hygiene: testing, observability, on-call readiness for the pilot. - Iterate quickly and pragmatically. ### **What we’re looking for** - Strong, practical software engineering skills; you can **ship end-to-end** and unblock yourself. - Experience building **SaaS products** with APIs, data models, and production constraints. - Deep comfort with **integrations** (OAuth2, webhooks, API pagination, rate limiting, sync semantics). - “**Vibe coding**” mindset: you use AI tools effectively (Copilot/ChatGPT/etc.) to m