AI Platform & Integrations Software Engineer

Role Description

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

• 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.

Qualifications

• 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, including OAuth2, webhooks, third-party APIs, rate limits, event ingestion, and data sync logic.
• Familiarity with backend and frontend engineering across modern web application stacks.
• Comfort using AI-assisted development tools effectively while maintaining strong judgment around tests, interfaces, and guardrails.
• Clear communication skills and ability to explain technical tradeoffs to product, engineering, and stakeholder teams.

Requirements

• A degree or professional background in computer science, software engineering, computer engineering, information systems, data systems, or a related technical field is helpful.
• Equivalent practical experience in SaaS engineering, platform development, integrations engineering, full-stack development, backend systems, or AI-native product work is also highly relevant.

Nice to Have

• Experience with MCP-style tool interfaces, tool servers, agent frameworks, workflow automation, or AI-native product architectures.
• Familiarity with React, Node.js, Python, TypeScript, Next.js, FastAPI, PostgreSQL, cloud platforms, Docker, CI/CD, observability tools, or modern SaaS infrastructure.
• Experience building dashboards, analytics surfaces, integration frameworks, event-driven systems, or multi-tenant platforms.
• Background in startup engineering, product engineering, platform teams, developer tools, internal tools, or AI workflow products.
• Strong attention to detail in fast-moving, production-focused, integration-heavy software environments.

Benefits

• Apply software engineering expertise to AI-native platform and integrations development.
• Contribute to high-quality SaaS infrastructure, real-time dashboards, agentic workflows, and production product delivery.
• Work on remote technical assignments aligned with modern AI and platform engineering practices.
• Use your engineering judgment in a focused, fast-moving product development environment.
• Remote structure with competitive hourly compensation.

Contract Details

• Full-time consulting-style engagement.
• Fully remote role.
• U.S.-based professionals preferred depending on project requirements.
• Competitive rates between $95–$140 per hour depending on expertise.
• Weekly payments via Stripe or Wise.
• Projects may be extended, shortened, or adjusted depending on scope and performance.
• Work will not involve access to confidential or proprietary information from any employer, client, or institution.