Job Search

Senior Full-stack Engineer

Location: Abu Dhabi, UAE
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 enterprise systems and sensitive engineering data.

You will act as the technical anchor for key build initiatives across major programmes. 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 delivery model, you will ensure our software meets strict usability, security, and reliability standards required for highly regulated and mission-critical environments.

Key Responsibilities

End-to-End Agent Architecture & User ExperienceIntuitive AI Interfaces: Architect and develop frontend applications using modern frameworks 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 that coordinates specialised AI workers, managing state, task routing, and error handling.Workflow Logic & State Management: Design task-routing services and frontend state management that map user prompts to specific skills and playbooks, ensuring deterministic and highly responsive execution of critical business and engineering workflows. Enterprise Integration & Data VisualizationSecure Enterprise Connectivity: Build the full-stack Data Access Layer that serves as the secure gateway for AI agents to read and write to enterprise systems, surfacing this data via dynamic dashboards and interactive data visualisations on the client side.RAG Integration & Search UI: Develop the backend logic to interface with vector databases and build frontend search components, enabling AI-powered knowledge and search applications to securely query and render historical and technical documents.External Data Feeds: Construct robust connectors for external data sources to power risk analysis and decision-support applications, building custom UI components to display comparative analysis and trade-offs. Security, Performance & DeploymentEnterprise-Grade Security: Implement full-stack security measures. On the backend, enforce authentication, Role-Based Access Control (RBAC), and sensitive-data redaction. On the frontend, ensure strict protection against XSS, CSRF, and other client-side vulnerabilities.On-Premise Optimization: Engineer systems for strictly isolated or on-premise deployment, optimising client-side bundles and backend resource usage on local computing infrastructure rather than relying on unlimited cloud scaling.Reliability Engineering: Implement comprehensive end-to-end observability, including frontend error tracking, backend logging, tracing, and monitoring in line with enterprise best practices.

Technical Requirements

Frontend Development: Expert proficiency in TypeScript/JavaScript and modern frontend frameworks. Strong experience with complex state management, real-time data streaming, and modern CSS technologies.Backend Development: Expert proficiency in Python for AI integration, alongside experience with modern backend technologies for high-performance microservices.API Architecture: Strong background in designing and consuming RESTful APIs and modern service-to-service communication technologies. Experience building API gateways for traffic management.Database Management: Proficiency with relational databases for transactional data and vector databases for semantic search applications.Containerization & Orchestration: Deep experience with containerisation and orchestration technologies for deploying scalable, full-stack applications in on-premise environments.Integration Protocols: Familiarity with enterprise integration patterns and ERP protocols 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 structured governance environment, delivering Agile software through sprints and MVPs while meeting rigorous review and systems-engineering requirements.Operational Mindset: Experience building mission-critical systems that require high availability, accessibility, security, and auditability, preferably within highly regulated or complex industries.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 secure backend logic that enable AI agents to support complex business processes, identify critical risks, analyse enterprise information, and validate important engineering decisions.

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 Software Engineer - Full Stack & Quality Engineering

Job Summary

We are seeking an experienced Senior Software Engineer to design, develop, test, and support scalable software applications. This role is ideal for a hands-on engineer with a strong background in full-stack development, software quality, databases, and the overall software development lifecycle.

The ideal candidate will be comfortable writing high-quality code while collaborating with cross-functional teams to deliver reliable and scalable technical solutions.

ResponsibilitiesDesign, develop, test, implement, and maintain software applications.Participate in the full software development lifecycle, from requirements gathering through production support.Develop clean, scalable, and well-documented code that meets business and technical requirements.Create and execute test plans, test cases, and automated testing strategies.Collaborate with business analysts, engineers, and stakeholders to translate requirements into technical solutions.Design and maintain relational database solutions and write SQL queries for application integration and data processing.Participate in code reviews and contribute to software engineering best practices.Monitor application performance and recommend improvements.Identify opportunities to reuse existing code and improve system architecture.Troubleshoot technical issues and support the resolution of software defects.Required QualificationsBachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.8+ years of experience in software development, engineering, testing, or related technical roles.Strong experience with one or more of the following:Java.NETNode.jsRubyAngularJSExperience with HTML and CSS.Strong SQL and relational database experience.Solid understanding of object-oriented programming and software design principles.Experience with software testing and quality assurance methodologies.Strong analytical, troubleshooting, and problem-solving skills.

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
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 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