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 (Postgre

SQL)
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 / Type Script (or similar backend stack)
REST API design & clean service layering
Postgre

SQL 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
Dev Ops 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
8–11 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 you’ve 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.