Senior Full Stack Engineer – AI Workflow & SaaS Platform

Senior Full Stack Engineer AI Workflow & SaaS Platform

(Multi-Tenant SaaS | Workflow Systems | GCP | AI-Aware Architecture)

We are building an AI-driven, industry-focused SaaS platform that combines workflow automation, execution engines, dashboards, reporting, integrations, and AI orchestration.

We are looking for a strong Senior Full Stack Engineer who can design and build scalable system architecture and take ownership of platform development.

• This is not just a feature development role.
• This role involves architectural thinking, layered design, and building a reusable SaaS foundation.
• You are expected to be deeply hands-on while contributing to platform architecture decisions.

Role Overview

You will architect and build a modular SaaS platform that supports:

• Multi-tenant structure
• Multi-stage workflows and process orchestration
• AI control panels and dashboards
• Cross-channel execution (e.g., marketing automation)
• Reporting and analytics
• AI orchestration (ADK agents and multi-step LLM pipelines)

You will work closely with founders and later collaborate with an AI Lead to extend intelligence capabilities on top of the platform.

This is a hands-on role with real system ownership and long-term growth into platform leadership.

What You Will Design & Build

Core SaaS Foundation

• Multi-tenant architecture
• User & organization management
• Role-based access control (RBAC)
• Audit logs & activity tracking
• API versioning & structured service layers
• Configurable tenant-level settings
• Modular backend design for extensibility

Workflow & Process Engine

• Multi-stage configurable workflows
• State management across steps
• Conditional branching & execution logic
• Task tracking & retry handling
• Process logging and auditability

Experience building workflow-driven or process-heavy systems is highly preferred.

Execution & Integration Framework

• Third-party API connectors
• Webhooks & event-driven triggers
• Async job processing & queue systems
• Cross-channel execution logic
• Failure handling & retries
• Execution logging & monitoring

AI Integration Layer (AI as a System Layer)

We are integrating ADK agents and LLM-driven pipelines.

You should be comfortable designing:

• Clean AI abstraction layer
• Multi-model routing (provider-agnostic)
• Retry/fallback handling
• Guardrails & structured output validation
• Async AI workflows
• AI cost and latency monitoring hooks
• Clear separation between workflow logic and AI logic

Deep ML experience is not required, but production AI integration experience is preferred.

Dashboards & Reporting

• Backend support for multi-level dashboards
• Aggregated metrics & reporting pipelines
• Historical data tracking
• Background analytics jobs
• Export-ready reporting architecture

Cloud & Infrastructure (GCP Primary)

We currently use GCP.

Experience preferred with:

• Cloud Run / containerized services
• Cloud SQL (PostgreSQL)
• Pub/Sub or queue systems
• IAM configuration
• CI/CD pipelines
• Multi-environment setup (dev/stage/prod)
• Monitoring & logging

Cloud-native and production-focused thinking is important.

Technical Requirements

Backend

• Strong Node.js / TypeScript (or similar backend stack)
• REST API design & clean service layering
• PostgreSQL schema design
• ORM experience (Prisma or similar)
• Caching strategies (Redis or equivalent)
• Async job processing

Frontend

• React / Next.js (or similar)
• Scalable component architecture
• API-driven frontend design

DevOps Awareness

• Docker
• CI/CD
• Production deployment experience

Responsibilities

• Design a clean layered architecture
• Actively write and review code
• Own core modules of the platform
• Improve development efficiency
• Mentor junior engineers
• Ensure scalability and maintainability
• Build product-grade systems, not just technical implementations

This role is hands-on and execution-focused, with growing architectural ownership.

Ideal Candidate Profile

• 811 years of experience in software engineering
• Experience building SaaS products (product company preferred)
• Strong backend engineering background
• Has worked on workflow/process-driven systems
• Comfortable with cloud deployments
• AI-aware and interested in building AI-driven platforms
• Ownership mindset and strong problem-solving ability

Application Requirement (Must Share)

Please share:

• SaaS systems youve designed and built
• Your role in architecture/design
• Experience with workflow or complex backend systems
• Any AI-integrated production systems
• Cloud deployment experience

Why Join

You will help build the core architecture of an AI-driven workflow SaaS platform from the ground up.

This is an opportunity to own system design early and grow into a platform leadership role.