Full-Stack Engineer - AI SaaS | Remote
Role summary
Seeking a Full-Stack Engineer with AI SaaS experience for a remote, full-time position. The role involves end-to-end product delivery for an AI-native workforce management platform, focusing on core components, integrations, analytics, and agentic tool-use architecture. Responsibilities include shipping production features across backend and frontend, designing integration frameworks, and establishing strong engineering practices like testing and observability. Requires practical software engineering skills, experience with SaaS products, deep comfort with integrations (OAuth2, webhooks, etc.), and effective use of AI tools like Copilot/ChatGPT. Familiarity with MCP-style tool interfaces is preferred. Strong communication skills are essential for explaining tradeoffs and aligning stakeholders.
Position:
Software Engineer (AI-Native Platform & Integrations)
Type:
Full-time position
Compensation:
$70-$110 per hour
Location:
Remote
Commitment:
10–40 hours/week
Role Responsibilities
- Own core product delivery end-to-end, including platform foundations, integrations, analytics surfaces, and pilot launch support
- Build AI-native workforce management platform components, including core entities, workflows, permissions, and multi-tenant foundations
- Develop an omni-tool integration layer, including connectors, event ingestion, sync, and actions
- Build real-time analytics dashboards with live metrics, drill-downs, and exports
- Architect an agentic tool-use layer compatible with MCP-style patterns, including tool registry, permissions, runtime, and observability
- Ship production features across backend and frontend
- Design and implement a scalable integrations framework
- Set up strong engineering hygiene, including testing, observability, and on-call readiness for the pilot
- Iterate quickly and pragmatically
Requirements
- Strong practical software engineering skills with the ability to ship end-to-end features independently
- Experience building SaaS products with APIs, data models, and production constraints
- Deep comfort with integrations, including OAuth2, webhooks, API pagination, rate limiting, and sync semantics
- Effective use of AI tools such as Copilot or ChatGPT while maintaining strong standards around tests, interfaces, and guardrails
- Familiarity with MCP-style tool interfaces or building tool servers
- Clear communication skills with the ability to explain tradeoffs and align stakeholders
Application Process (Takes 20 Mins)
- Upload resume
- Interview (15 min)
- Submit form