Software Engineer (AI-Native Platform & Integrations)

Mercor; India; Remote; INR 8,451,000 - 14,085,000; Full time

Job summary

Mercor is seeking an Software Engineer for an AI-native platform and integrations. This fully remote, contractor role focuses on end-to-end product delivery, platform foundations, integrations, analytics surfaces, and pilot launch.

You will ship features across backend and frontend, build an integrations framework, and enable real-time analytics with robust observability and guardrails. This is a dynamic, project-based opportunity.

Qualifications

• Strong, practical software engineering skills with end-to-end delivery capability.
• Experience building SaaS products with APIs and production constraints.
• Deep comfort with integrations (OAuth2, webhooks, API pagination, rate limits).
• Clear communicator who can align stakeholders on tradeoffs.

Responsibilities

• Ship production features across backend and 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 engineering hygiene: testing, observability, on-call readiness for the pilot.
• Iterate quickly and pragmatically.

Skills

Software engineering

SaaS

APIs

Integrations

Communication

Job description

Software Engineer (AI-Native Platform & Integrations)

Company: Mercor

Commitment: Talent network

Location: Remote

Referral Link: https://t.mercor.com/JCrh6Location requirementsUnited States

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 hand-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. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.

Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.