Senior Full-Stack Architect: AI Interfaces & On-Prem

GCS Recruitment; United States; Remote; USD 114,000 - 174,000; Part time

Job summary

GCS Recruitment is seeking a Senior Full-stack Engineer to architect production-grade, end-to-end applications for AI-enabled defense/engineering platforms. You will design frontend interfaces (React/Next.js) and secure backend services that connect to SAP S/4HANA, Ariba, and external data feeds, with on-premise deployment and strict security requirements.

You will lead the implementation of an orchestration layer for multiple AI workers, ensure robust state management and reliable data flows,

Qualifications

• 5+ years of full-stack software engineering with production ML/AI deployments.

Responsibilities

• Architect end-to-end agent architecture and frontend UX for interacting with AI agents.
• Design backend orchestration layers coordinating specialized AI workers and state management.
• Implement secure, on-premise data flows and enterprise-grade API gateways.

Skills

TypeScript/JavaScript

React/Next.js

Python (FastAPI)

API Design

Docker/Kubernetes

Security/Identity

On-premise deployment

Education

Bachelor's degree in Computer Science

Tools

Weaviate

PostgreSQL

SAP S/4HANA

Kong/NGINX API Gateways

Terraform

Job description

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.

1. 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/4HANA 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.

1. 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 TypeScript/JavaScript and modern frontend frameworks (preferably React or Next.js). Strong experience with complex state management, real-time data streaming (WebSockets/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 high-performance microservices.
• API Architecture: Strong background in designing and consuming RESTful APIs and gRPC services. Experience building API Gateways (e.g., Kong, NGINX) for traffic management.
• Database Management: Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications.
• Containerization & Orchestration: Deep experience with Docker and Kubernetes (k8s) for deploying scalable, full-stack applications in on-premise environments.
• Integration Protocols: Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus.

Professional Qualifications

• Experience: 5+ years of experience in Full-stack Software Engineering, with a proven track record of building and scaling web applications that serve ML/AI models in production environments.
• Structured Delivery: Ability to thrive in a "Governance Collision" environment, delivering Agile software (Sprints, MVPs) that passes rigorous "Stage Gate" reviews and Systems Engineering audits.
• Operational Mindset: Experience building mission-critical systems that require high availability, accessibility, and auditability, preferably in Fintech, Healthcare, or Defense sectors.
• Cross-Functional Collaboration: Proven track record of bridging the gap between Data Scientists, Backend Engineers, and UI/UX Designers to deliver cohesive end-to-end platforms.

Why This Role?

You are not just building APIs or user interfaces; you are building the "hands" and the "face" of an AI workforce. Your code will provide the intuitive dashboards and the secure backend logic that enable AI agents to autonomously draft defense contracts, forecast critical supply shortages, and validate the safety of engineering designs. If you want to build the secure, high-performance, and deeply interactive architecture that makes AI tangible, this role is for you.

GCS is acting as an Employment Business in relation to this vacancy.