Software Engineer (AI-Native Platform & Integrations) | $70-$110/hr Remote
Overview
This is a part-time contract opportunity for a Software Engineer to build a next-generation AI-native platform from scratch. You'll own the full product lifecycle—from core platform foundations and multi-tenant architecture to real-time analytics dashboards and agentic workflows—and drive the pilot launch with real users.
What You'll Do6
- 1Deliver production features across both backend and frontend stacks.
- 2Design and build a scalable integrations framework that connects to common tools via OAuth2, webhooks, and API sync.
- 3Develop real-time analytics experiences with live metrics, drill-downs, and export capabilities.
- 4Architect an agentic integration layer compatible with MCP-style tool registries, permissions, and runtime observability.
- 5Establish strong engineering practices—testing, monitoring, and on-call readiness—for the pilot phase.
- 6Iterate pragmatically, shipping quickly while maintaining quality and clarity.
Requirements6
- 1Strong, hands-on full-stack engineering skills with the ability to ship independently from idea to production.
- 2Proven experience building SaaS products with APIs, data modeling, and production constraints.
- 3Deep familiarity with integrations—OAuth2, webhooks, API pagination, rate limiting, and sync semantics.
- 4A AI-assisted development mindset: you use tools like Copilot or ChatGPT to move fast without sacrificing correctness or test coverage.
- 5Exposure to MCP-style tool interfaces or building tool servers is a plus.
- 6Clear communicator who can explain tradeoffs and keep stakeholders aligned.
Who Should Apply
A pragmatic full-stack engineer who loves building AI-native products end-to-end, thrives on integrations and real-time data, and uses AI coding tools to accelerate without cutting corners. You are comfortable owning the entire delivery cycle and iterating closely with users during a pilot launch.
Salary Insight
The role pays $70.00 - $110.00 per hour, based on experience and qualifications.
Application Tip
In your application, highlight specific projects where you built integrations (e.g., OAuth2 flows or webhook-based sync) and how you used AI tools to accelerate development without sacrificing code quality.
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