Software Engineer (AI-Native Platform & Integrations)

Engineering & Software • Independent Contractor • Remote • Weekly Payouts

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 move fast without sacrificing correctness, good taste around tests, interfaces, and guardrails.

• Familiarity with MCP-style tool interfaces and/or building tool servers.

• Clear communicator who can explain tradeoffs and keep stakeholders aligned.

About Cincinnatus

Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives.

Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows.

Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus.

Equal Employment Opportunity

Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.

Details

• Pay: $70 to $110 per hour (part-time)
• Commitment: Flexible • onsite
• Eligible locations: United States
• Platform: Mercor (weekly payouts via Stripe or Wise)

Submit your application via the link below. Qualified candidates move through Mercor's short AI interview and selection process. Projects can be extended, shortened, or concluded early depending on needs and performance.