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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/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.
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 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.

Read less

Senior Back-end Engineer
Location: Abu Dhabi, UAE - Remote Global Type: Contract
Role Summary

We are seeking a Senior Back-end Engineer to build the production-grade application architecture for a large-scale AI transformation programme. You will be the architect behind the "nervous system" of AI agents, designing the secure API gateways and orchestration layers that allow Large Language Models (LLMs) to interact with enterprise ERPs and sensitive engineering data.

You will act as the technical anchor for critical build initiatives across flagship programmes. Your mandate is to move beyond simple model serving and build robust, on-premise micro-services that power enterprise engineering platforms and autonomous AI agents. Working within a structured "Stage Gate" delivery model, you will ensure software meets strict security and reliability standards required in highly regulated environments.

Key Responsibilities
1. Agent Orchestration & System Architecture
*
Agentic Frameworks: Architect the orchestration layer (Agent of Agents) that coordinates specialised AI workers (e.g., Controllership Agent, Treasury Agent), managing state, task routing, and error handling.
*
Workflow Logic: Design the "Task Router & Intent Classifier" services that map user prompts to specific skills/playbooks, ensuring deterministic execution of critical financial and engineering workflows.
*
Microservices Design: Build scalable, containerized microservices that handle high-concurrency requests, ensuring low-latency responses for real-time market intelligence and design trade-off analysis.
2. Enterprise Integration & API Gateways
*
Secure SAP Connectivity: Build the "Data Access Layer" (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4HANA and Ariba, enforcing strict validation logic before any transaction is committed.
*
Scalable Data Lakehouse Connectivity: Build a scalable, secure, observable connection layer to the central data platform, ensuring all read transactions are authenticated, authorized, and properly audited.
*
RAG Integration: Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and Retrieval Models, enabling AI-powered knowledge mining solutions to securely query historical proposals and technical documents.
*
External API Managers: Construct robust connectors for external data feeds (e.g., S&P Global, Orbis), handling rate limiting, caching, and data normalization.
3. Security, Performance & Deployment
*
Enterprise-Grade Security: Implement "Gateway & Policy Guard" services that enforce Authentication, Role-Based Access Control (RBAC), and PII/ITAR redaction before data reaches an LLM.
*
On-Premise Optimization: Engineer systems for strictly air-gapped or on-premise deployment, optimizing efficient resource usage on local GPU clusters.
*
Reliability Engineering: Implement comprehensive logging, tracing, monitoring, and observability mechanisms while adhering to enterprise best practices and governance standards.
Technical Requirements
*
Core Languages: Expert proficiency in Python (FastAPI/Django) for AI integration and Go or Java for high-performance microservices.
*
Containerization & Orchestration: Deep experience with Docker and Kubernetes (K8s) for deploying scalable applications in on-premise environments.
*
API Architecture: Strong background in designing RESTful APIs and gRPC services. Experience building API Gateways (e.g., Kong, NGINX) for traffic management and security.
*
Database Management: Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications.
*
Integration Protocols: Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus.
Professional Qualifications
*
Experience: 5+ years of experience in Backend Engineering, with a focus on building distributed systems or platforms that serve ML/AI models in production.
*
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 systems that require high availability and auditability, preferably in Fintech, Healthcare, Defence, or other highly regulated sectors.
*
Collaboration: Proven track record of working with Data Scientists to productize models and Front-end Engineers to deliver seamless user experiences.

Why This Role?
You are not just building APIs; you are building the "hands" that allow AI to do real work. Your code will enable AI agents to automate complex workflows, forecast critical operational risks, and support engineering and business decision-making. If you want to build the secure, high-performance architecture that makes AI tangible, this role is for you.

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

Read less

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

End-to-End Agent Architecture & User ExperienceIntuitive 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. Enterprise Integration & Data VisualizationSecure 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. Security, Performance & DeploymentDefense-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.

Read less

Role Summary
We are seeking a Senior Backend Engineer to build the production-grade application architecture for a large-scale AI transformation programme. You will be the architect behind the "nervous system" of AI agents, designing the secure API gateways and orchestration layers that allow Large Language Models (LLMs) to interact with enterprise ERPs and sensitive engineering data.
You will act as the technical anchor for critical build initiatives across flagship programmes. Your mandate is to move beyond simple model serving and build robust, on-premise microservices that power enterprise engineering platforms and autonomous AI agents. Working within a structured "Stage Gate" delivery model, you will ensure software meets strict security and reliability standards required in highly regulated environments.

Key Responsibilities
1. Agent Orchestration & System Architecture
*Agentic Frameworks: Architect the 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: Design the "Task Router & Intent Classifier" services that map user prompts to specific skills/playbooks, ensuring deterministic execution of critical financial and engineering workflows.
*Microservices Design: Build scalable, containerized microservices that handle high-concurrency requests, ensuring low-latency responses for real-time market intelligence and design trade-off analysis.
2. Enterprise Integration & API Gateways
*Secure SAP Connectivity: Build the "Data Access Layer" (DAL) that serves as the secure gateway for AI agents to read/write to SAP S/4HANA and Ariba, enforcing strict validation logic before any transaction is committed.
*Scalable Data Lakehouse Connectivity: Build a scalable, secure, observable connection layer to the central data platform, ensuring all read transactions are authenticated, authorized, and properly audited.
*RAG Integration: Develop the backend logic to interface with Vector Databases (e.g., Weaviate) and Retrieval Models, enabling AI-powered knowledge mining solutions to securely query historical proposals and technical documents.
*External API Managers: Construct robust connectors for external data feeds (e.g., S&P Global, Orbis), handling rate limiting, caching, and data normalization.
3. Security, Performance & Deployment
*Enterprise-Grade Security: Implement "Gateway & Policy Guard" services that enforce Authentication, Role-Based Access Control (RBAC), and PII/ITAR redaction before data reaches an LLM.
*On-Premise Optimization: Engineer systems for strictly air-gapped or on-premise deployment, optimizing efficient resource usage on local GPU clusters.
*Reliability Engineering: Implement comprehensive logging, tracing, monitoring, and observability mechanisms while adhering to enterprise best practices and governance standards.
Technical Requirements
*Core Languages: Expert proficiency in Python (FastAPI/Django) for AI integration and Go or Java for high-performance microservices.
*Containerization & Orchestration: Deep experience with Docker and Kubernetes (K8s) for deploying scalable applications in on-premise environments.
*API Architecture: Strong background in designing RESTful APIs and gRPC services. Experience building API Gateways (e.g., Kong, NGINX) for traffic management and security.
*Database Management: Proficiency with Relational Databases (PostgreSQL) for transactional data and Vector Databases (Weaviate, Milvus) for semantic search applications.
*Integration Protocols: Familiarity with enterprise integration patterns and ERP protocols (OData, SOAP) is a strong plus.

Professional Qualifications
*Experience: 5+ years of experience in Backend Engineering, with a focus on building distributed systems or platforms that serve ML/AI models in production.
*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 systems that require high availability and auditability, preferably in Fintech, Healthcare, Defence, or other highly regulated sectors.
*Collaboration: Proven track record of working with Data Scientists to productize models and Frontend Engineers to deliver seamless user experiences.

Why This Role?
You are not just building APIs; you are building the "hands" that allow AI to do real work. Your code will enable AI agents to automate complex workflows, forecast critical operational risks, and support engineering and business decision-making. If you want to build the secure, high-performance architecture that makes AI tangible, this role is for you.

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

Read less