FULL STACK SOFTWARE ENGINEER (AI & MOBILE)

FULL STACK SOFTWARE ENGINEER (AI & MOBILE)

Contract : 3 Months extendable

JOB PURPOSE

Design, develop, and maintain scalable, secure, and high-performing mobile and web applications that enable data-driven decision-making across Al-Futtaim Automotive. The role owns end-to-end software development, from React Native iPad applications and React-based web interfaces to Python backend services, cloud data integrations, and AI-powered capabilities, including conversational interfaces and LLM-based applications.

• KEY ACCOUNTABILITIES

• Develop, enhance, and maintain production-grade iPad applications using React Native, ensuring responsive, intuitive, and high-performing user experiences.
• Design and implement React-based web applications, dashboards, and data-driven interfaces.
• Develop, integrate, and maintain secure RESTful APIs using Python and FastAPI.
• Design and optimize database schemas, queries, stored procedures, and data access logic across relational, NoSQL, and analytics platforms.
• Integrate applications with enterprise data platforms, including Databricks, to enable reliable access to business data and insights.
• Develop AI-powered application features, including LLM-based chatbots and conversational interfaces using LangChain and LangGraph.
• Implement AI agent orchestration, tool calling, conversation memory, and multi-step workflows.
• Monitor and evaluate LLM application quality, reliability, and performance using observability tools such as LangSmith.
• Implement caching mechanisms and performance optimization techniques to improve application responsiveness and scalability.
• Manage React Native application builds, testing, release management, and deployment processes for iPad/iOS.
• Develop automated unit, integration, and end-to-end tests to ensure application quality and reliability.
• Build, maintain, and optimize CI/CD pipelines using Azure DevOps.
• Deploy, configure, monitor, and troubleshoot applications and services within Microsoft Azure.
• Apply secure coding practices, authentication, authorization, and API security standards.
• Participate in architecture discussions, code reviews, Git-based workflows, and technical documentation.
• Collaborate with UX/UI designers, Data Product Owners, data engineers, and business stakeholders to translate requirements into production-ready solutions.
• Troubleshoot and resolve application defects, performance bottlenecks, and integration issues across the full technology stack.

4. JOB CONTEXT

Works within the Data & AI Office, collaborating closely with Data Platform, Data Engineering, UX/UI, IT, and business units to develop and maintain enterprise applications, including the Executive Command Center.

The role supports the delivery of integrated mobile and web experiences, connecting user-facing applications with backend services, enterprise data platforms, and AI capabilities.

Acts as an end-to-end technical contributor, ensuring solutions are scalable, secure, performant, and aligned with enterprise architecture, business requirements, and the organization's digital transformation objectives.

• QUALIFICATIONS, EXPERIENCE & SKILLS

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field (or equivalent professional experience).
• 4–6 years of professional software development experience, preferably in full stack application development.
• Strong expertise in React Native, including developing and deploying production mobile applications, preferably for iPad/iOS.
• Proficiency in JavaScript, TypeScript, and React for developing responsive web applications and data-driven interfaces.
• Strong Python development experience, particularly with FastAPI or comparable backend frameworks.
• Experience designing, developing, consuming, and securing RESTful APIs, including authentication and authorization.
• Strong knowledge of relational databases, including MySQL and PostgreSQL, with experience in schema design, complex queries, and stored procedures.
• Experience with NoSQL databases such as Azure Cosmos DB and MongoDB.
• Practical experience integrating applications with Databricks and enterprise data platforms.
• Experience implementing Redis caching and other application performance optimization strategies.
• Hands-on experience with Microsoft Azure for application hosting, deployment, and cloud service integration.
• Proficiency in Azure DevOps, including repositories, boards, automated pipelines, and Git-based development workflows; familiarity with GitHub.
• Experience developing automated tests and implementing continuous integration and continuous deployment practices.
• Knowledge of React Native application build and release processes, including TestFlight and App Store Connect.
• Experience developing LLM-powered applications using LangChain, LangGraph, or comparable frameworks.
• Understanding of AI agent orchestration, tool calling, conversation memory, prompt design, and integration of LLM APIs into production applications.
• Familiarity with LLM monitoring, tracing, and evaluation tools such as LangSmith.
• Excellent analytical, communication, and cross-functional collaboration skills.
• Advantageous: Experience with retrieval-augmented generation (RAG), embeddings, vector search, Docker, Azure Monitor, Application Insights, and offline-capable mobile applications.

6. ROLE ESSENTIALS (COMPETENCIES)

• End-to-End Ownership: Takes accountability for software features from technical design through development, testing, deployment, and ongoing maintenance.
• Full Stack Versatility: Works effectively across mobile, web, backend, data integration, and cloud infrastructure technologies.
• Analytical Problem Solving: Diagnoses complex technical issues and develops effective, scalable solutions across application layers.
• Quality & Security Mindset: Delivers maintainable, well-tested, secure, and production-ready software in accordance with engineering standards.
• Collaboration & Communication: Communicates technical concepts clearly and works effectively with cross-functional teams and business stakeholders.
• Adaptability & Continuous Learning: Rapidly adopts emerging technologies, development frameworks, and AI capabilities to improve solutions and delivery.

• KPIs / SUCCESS MEASURES

• On-time delivery of software features and enhancements against agreed requirements and release milestones.
• Application and API performance, availability, reliability, and response times.
• Automated test coverage, production defect rates, and issue resolution time.
• Successful and timely deployment of iPad application releases.
• CI/CD pipeline reliability, deployment success rates, and release efficiency.
• Quality, performance, reliability, and adoption of LLM-powered features.
• Application scalability and efficiency of database queries, APIs, and caching mechanisms.
• Adherence to software engineering standards, security requirements, and code review practices.
• Stakeholder satisfaction and successful delivery of business requirements.

• TOOLS & TECHNOLOGIES

• Frontend & Mobile: React Native, React, JavaScript, TypeScript.
• Backend & APIs: Python, FastAPI, RESTful APIs.
• Databases & Data Platforms: MySQL, PostgreSQL, Azure Cosmos DB, MongoDB, Databricks.
• Caching & Performance: Redis, application caching strategies.
• Cloud Infrastructure: Microsoft Azure.
• DevOps & Source Control: Azure DevOps (primary), Git, GitHub, CI/CD pipelines.
• Mobile Deployment: TestFlight, App Store Connect.
• AI & LLM Frameworks: LangChain, LangGraph, LangSmith, LLM APIs.
• Additional Technologies: Docker, Azure Monitor, Application Insights, RAG, vector databases and embeddings (advantageous).

.