AI Full Stack Developer (Gen AI, React & Microservices)
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- United Arab Emirates
- Permanent
- Full-time
- Design and develop end-to-end full stack applications integrating Generative AI capabilities
- Build responsive and high-performance user interfaces using React.js
- Architect and develop scalable microservices and RESTful APIs
- Implement Retrieval Augmented Generation (RAG) pipelines, embeddings, and vector search solutions
- Develop and optimize Agentic AI workflows involving multi-step reasoning and tool integration
- Fine-tune and optimize large language models for domain-specific use cases
- Work with structured and unstructured data using Python libraries such as Pandas and NumPy
- Develop machine learning models including predictive analytics and computer vision models using OpenCV and CNNs
- Implement MLOps practices for model deployment, monitoring, and lifecycle management
- Deploy applications on cloud platforms such as Microsoft Azure, AWS, or GCP
- Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps
- Ensure application scalability, performance, security, and compliance
- Participate in agile ceremonies, design discussions, and code reviews
- Mentor junior developers and contribute to engineering best practices
- Collaborate with data scientists, product managers, and UX teams to deliver AI-driven solutions
- Strong programming experience in Python, .NET, or Java
- Proficiency in React.js including modern hooks and performance optimization
- Experience designing and building microservices-based architectures
- Hands-on experience with Generative AI technologies including LLMs, RAG, embeddings, and prompt engineering
- Experience building production-grade AI applications
- Strong understanding of machine learning concepts including NLP, predictive modeling, and computer vision
- Experience with data processing libraries such as Pandas and NumPy
- Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Cosmos DB
- Experience with relational databases such as PostgreSQL or MySQL
- Familiarity with object storage systems such as Azure Blob Storage or MinIO
- Experience working with cloud platforms such as Azure (preferred), AWS, or GCP
- Experience with DevOps tools such as GitHub, Azure DevOps, or Jenkins
- Familiarity with code quality and security tools such as SonarQube and Veracode
- Experience in Industrial AI, Healthcare AI, or Manufacturing AI domains
- Understanding of LLM performance tuning, latency optimization, and cost control
- Knowledge of rate limiting, API governance, and distributed system design
- Familiarity with data compliance standards such as GDPR, HIPAA, SOC2, or ISO
- Experience with modern developer tools such as Cursor, Claude Code, or Miro
- Strong understanding of design patterns and system architecture principles
- Opportunity to build production-grade AI systems with real-world impact
- Exposure to cutting-edge technologies in Generative AI and machine learning
- Collaborative environment with cross-functional teams including AI engineers, data scientists, and product teams
- Opportunities for career growth into technical leadership roles
- Flexible work environment
- Work closely with Top notch product or customization for fortune 100 clients
- 5- 12 years of overall Experience with building and deploying end-to-end Generative AI applications in most recent 3 years.
- Ability to balance trade-offs between performance, scalability, and cost
- Strong problem-solving and system design skills
- Ability to translate complex AI concepts into user-friendly applications
- Out of the box thinker to "get things done" with help of best available AI tools, but not compromising on Engineering best practices.