AI Full Stack Developer (Gen AI, React & Microservices)

Backend EngineerSoftware EngineerFull TimeRemoteMid LevelTeam 501-1,000

Location

United Arab Emirates

Posted

100 days ago

Salary

0

Seniority

Mid Level

Job Description

AI Full Stack Developer (Gen AI, React & Microservices)

Zealogics.com

Role Overview We are seeking a Senior AI Full Stack Engineer with strong expertise in Generative AI, modern frontend frameworks, and scalable backend systems. This role focuses on building production-grade AI-powered applications across Industrial AI, Healthcare AI, and Manufacturing AI domains. You will design, develop, and deploy full stack solutions integrating large language models and machine learning systems into real-world applications that deliver measurable business impact. Key Responsibilities - 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 Required Skills and Qualifications - 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 Good to Have - 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 What We Offer - 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 Preferred Candidate Profile - 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.

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