About The Role
We are building a next-generation AI-powered enterprise automation platform focused on intelligent workflows, operational automation, predictive analytics, and real-time communication systems.
This is NOT a simple CRUD SaaS application.
We are building a large-scale interconnected platform where:
- multiple operational systems communicate with each other,
- AI assists workflows intelligently,
- automation reduces manual operations,
- Security and scalability are foundational requirements.
We are looking for high-level engineers and system thinkers who can help architect and build scalable AI-assisted systems with enterprise-grade backend architecture, automation pipelines, integrations, and secure infrastructure.
Core Engineering PhilosophyAI assists decisions.The platform controls execution.
The architecture must ensure:
- AI outputs are validated
- business rules are enforced
- sensitive operations are protected
- all actions are auditable and traceable
This is a controlled AI architecture, not uncontrolled autonomous AI.
Key ResponsibilitiesAI Systems & Workflow Automation
- Integrate external AI services (LLMs and ML platforms)
- Build AI-assisted workflows for:
- communication automation
- intelligent recommendations
- predictive analytics
- operational insights
- workflow optimization
- Design AI orchestration pipelines with:
- response validation
- prompt pipelines
- AI safety middleware
- audit logging
- Build AI gateway layers to securely manage external AI interactions
- Ensure AI systems remain rule-controlled and suggestion-based
Backend Architecture & Platform Engineering
- Develop scalable backend systems using:
- Node.js / Express.js
- Python (preferred for AI services)
- Design modular and maintainable architecture
- Build event-driven systems using queues/triggers
- Create reusable APIs and workflow services
- Develop scalable multi-tenant SaaS infrastructure
- Build centralized orchestration systems for automation workflows
Workflow & System Integration
The platform contains deeply connected operational systems that must work together seamlessly.
Responsibilities include:
- designing cross-system workflows,
- managing event-driven communication,
- handling automation triggers,
- and ensuring centralized business logic remains maintainable and scalable.
The platform requires:
- real-time updates,
- automation pipelines,
- asynchronous processing,
- notification systems,
- reporting systems,
- analytics pipelines,
- and operational intelligence.
Security, Compliance & Data Governance (CRITICAL)
Security-first engineering is mandatory.
Responsibilities include:
- Implement AES-256 encryption standards
- Design secure API gateway architecture
- Build anonymization and masking pipelines
- Prevent sensitive data exposure to external AI systems
- Implement RBAC (Role-Based Access Control)
- Maintain audit logs and traceability
- Build validation layers before execution
- Ensure secure multi-tenant isolation
- Design monitoring and anomaly detection systems
Important:
External AI systems must NEVER receive:
- raw personal data
- unrestricted database access
- financial credentials
- confidential records
Predictive Intelligence & Analytics
Build systems for:
- forecasting
- behavioral prediction
- operational analytics
- conversion analysis
- churn prediction
- recommendation systems
- business intelligence
- performance optimization
Experience with:
- AI/ML integrations
- predictive workflows
- structured + unstructured datasets
- analytics systems
is highly preferred.
Real-Time Communication & Automation
Responsibilities include:
- messaging platform integrations
- webhook systems
- notification automation
- asynchronous task execution
- event-based processing
- retry/failure recovery systems
- real-time communication workflows
Ideal Technical ProfileStrong Expertise In:
- Node.js / Express.js
- React.js / Next.js
- TypeScript
- REST APIs
- WebSockets
- SQL & NoSQL databases
- System design
- Authentication & authorization systems
- Event-driven architecture
Strong Advantage:
- AI workflow orchestration
- LLM integrations
- prompt engineering
- distributed systems
- queue systems (RabbitMQ/Kafka/etc.)
- Docker & containerized infrastructure
- observability & monitoring systems
- scalable SaaS architecture
- enterprise-grade security thinking
Preferred StackFrontend
- React.js
- Next.js
- Tailwind CSS
Backend
- Node.js
- Express.js
- Python (AI services)
Database
- PostgreSQL / MySQL
- MongoDB
- Redis (preferred)
Infrastructure
- Docker
- Nginx
- CI/CD pipelines
- Cloud infrastructure (AWS/GCP/Azure)
Engineering Mindset We Want
We are NOT looking for:
- basic CRUD developers
- AI wrapper builders
- copy-paste coders
We are looking for engineers who:
- think in systems,
- understand scalability,
- care about architecture,
- design secure workflows,
- and can build enterprise-grade automation platforms.
Future Scope
You will work on:
- advanced AI orchestration systems
- predictive intelligence engines
- scalable automation infrastructure
- real-time enterprise workflows
- multi-tenant SaaS systems
- AI-assisted operational systems
- future mobile ecosystem integrations
- large-scale analytics engines
Potential growth into:
- Technical Lead
- Platform Architect
- AI Systems Architect
Non-Negotiable Expectations
- Strong ownership mindset
- Production-grade coding standards
- Security-first engineering
- Scalable architecture thinking
- Clean documentation practices
- Ability to work on interconnected large systems
- Long-term product thinking
Application Requirements
Please include:
- Resume / Portfolio
- GitHub profile
- Architecture-heavy projects worked on
- AI integration experience
- Scalable SaaS systems built
- Automation workflows implemented
- Role in previous production systems
- Candidates with strong system design capability and real-world production experience will be prioritized.
[Confidential Information]
