AI Platform & Integrations Software Engineer
New
Source API remote eligibility restrictions: United StatesContract
Salary95 - 140 USD per hour
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Job Details
- Required Skills
- DockerNode.jsPostgreSQLPythonOAuthTypeScriptFastAPINext.jsReactCI/CD
Requirements
- 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
- 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
- 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
Responsibilities
- 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
- 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
- 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
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