Full Stack Architect

As a Full Stack Architect, you will design and develop web frontend and backend services for an agentic AI platform that is accelerating application development across the entire software development lifecycle.

Technical Requirements
Essential:

• 5+ years fullstack development with TypeScript/JavaScript ecosystem
• Expert-level React and modern state management (Redux Toolkit, Zustand, or similar)
• Strong Node.js/NestJS or Express backend development
• Experience with real-time systems (WebSockets, Server-Sent Events, WebRTC)
• PostgreSQL and Redis for data persistence and caching
• Docker and container orchestration basics
• Git workflows and CI/CD pipeline setup
• Understanding of authentication systems (OAuth, JWT, SSO)
• API design and documentation (OpenAPI)
• Experience with event-driven architectures (Kafka, RabbitMQ)

Soft skills requirements:

• Comfortable with rapid iteration and changing requirements
• Strong ownership mentality and self-direction
• Ability to work across the entire stack when needed
• Experience or interest in early-stage product development
• Excellent communication skills for cross-functional collaboration
• Excitement about AI and its impact on software development
• English: Upper-Intermediate/Advanced

Responsibilities
Primary responsibility is hands-on design and implementation of an Agentic AI platform enabling development of agents automating the entire software development lifecycle, from specs to design, to coding and testing:

• Design and develop a web frontend for Agentic AI spec, design, code and test generation services backend
• Develop responsive, real-time web UI for code generation, editing, and collaboration using React and TypeScript
• Design and implement scalable backend services for LLM orchestration, code execution, and user workspace management
• Create WebSocket-based systems for streaming code generation and real-time collaborative features
• Build REST APIs for third-party integrations
• Implement secure sandboxed code execution environments and containerized runtime systems
• Develop billing, usage tracking, and subscription management subsystems
• Optimize frontend performance for large code files and syntax highlighting
• Create developer tools and SDKs for platform integration
• Collaborate with AI team to integrate Agentic AI engine into user-facing features

• Participate in architecture decisions for scaling the system.

   

Nice to have:

• Experience integrating LLM APIs (OpenAI, Anthropic, or similar)
• Understanding of streaming responses and token management
• Familiarity with code parsing, syntax trees, and language servers
• Knowledge of sandboxed execution environments
• Experience with Kubernetes and cloud platforms (AWS/Azure)
• Python knowledge for AI/ML integration
• Experience with VS Code extension development
• Experience with vector databases
• Familiarity with observability tools (Sentry, OpenTelemetry)