Senior Full-Stack Engineer - AI-Driven Enterprise Platform

Senior Full-stack Engineer

Location:

Abu Dhabi, UAE - Remote Global Type:
Contract

Role Summary We are seeking a Senior Full-stack Engineer to build the production-grade, end-to-end application architecture for a large-scale AI transformation. You will be the architect behind both the "face" and the "nervous system" of our AI agents, designing intuitive, highly responsive user interfaces alongside the secure API gateways and orchestration layers that allow Large Language Models (LLMs) to interact with industrial ERPs and sensitive engineering data.

You will act as the technical anchor for key build initiatives across our flagship programs. Your mandate is to move beyond simple model serving to build robust, on-premise microservices and dynamic frontend applications that power enterprise engineering platforms and autonomous AI agents. Working within a structured "Stage Gate" delivery model, you will ensure our software meets the strict usability, security, and reliability standards required for national defense infrastructure.

Key Responsibilities
1. End-to-End Agent Architecture & User Experience

* Intuitive AI Interfaces:
Architect and develop the frontend applications (e.g., React/Next.js) that allow end-users to interact seamlessly with AI agents. Build custom chat interfaces capable of handling streaming LLM responses, complex citations, and interactive widgets.

* Agentic Frameworks:
Design the backend orchestration layer (Agent of Agents) that coordinates specialized AI workers (e.g., Controllership Agent, Treasury Agent), managing state, task routing, and error handling.

* Workflow Logic & State Management:
Design the "Task Router" services and frontend state management that map user prompts to specific skills/playbooks, ensuring a deterministic and highly responsive execution of critical financial and engineering workflows.
2. Enterprise Integration & Data Visualization

* Secure SAP Connectivity:
Build the full-stack "Data Access Layer" (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4

HANA and Ariba, surfacing this data via dynamic dashboards and interactive data visualizations on the client side.

* RAG Integration & Search UI:
Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and build the frontend search components, enabling the "Knowledge Mining Chatbot" to securely query and render historical proposals and technical documents.

* External Data Feeds:
Construct robust connectors for external data (e.g., S&P Global, Orbis) to power Supply Chain Risk Scoring, building custom UI components to display comparative analysis and trade-offs.
3. Security, Performance & Deployment

* Defense-Grade Security:
Implement full-stack security measures. On the backend, enforce Authentication, Role-Based Access Control (RBAC), and PII/ITAR redaction. On the frontend, ensure strict protection against XSS, CSRF, and other client-side vulnerabilities.

* On-Premise Optimization:
Engineer systems for strictly air-gapped or on-premise deployment, optimizing client-side bundles and backend resource usage on local GPU clusters rather than relying on infinite cloud scaling.

* Reliability Engineering:
Implement comprehensive end-to-end observability, including frontend error tracking, backend logging, tracing, and monitoring adhering to enterprise best practices.
Technical Requirements

* Frontend Development:
Expert proficiency in Type Script/JavaScript and modern frontend frameworks (preferably React or Next.js). Strong experience with complex state management, real-time data streaming (Web Sockets/SSE), and modern CSS (Tailwind, CSS-in-JS).

* Backend Development:
Expert proficiency in Python (FastAPI/Django) for AI integration, and Node.js, Go, or Java for…