Senior AI Full-Stack Engineer – Autonomous AI Systems

Senior AI Full-Stack Engineer – Autonomous AI Systems

Location: Dubai, UAE
Experience: 2+ Years
Employment Type: Full-time

We are looking for a Senior AI Full-Stack Engineer to build and deploy practical AI agents, LLM applications and automation systems for real-world business processes.

Key Responsibilities

• Design, develop and deploy AI-powered applications and autonomous AI agents.
• Build multi-step AI workflows using LLMs, tool/function calling and agent orchestration.
• Develop backend services and APIs using Python and/or Node.js/TypeScript.
• Build frontend applications and operational dashboards using React / Next.js.
• Integrate AI solutions with third-party APIs and business systems.
• Develop RAG-based applications, embeddings and vector database solutions.
• Work with PostgreSQL and Redis/Kafka or similar technologies.
• Deploy and maintain applications using Docker, cloud platforms and CI/CD.
• Monitor, troubleshoot and continuously improve production AI systems.
• Independently take projects from requirement design development deployment production.

Requirements

• 5+ years of software engineering experience.
• Strong hands-on experience in full-stack development.
• Proven experience building and deploying real-world AI/LLM applications.
• Experience with AI Agents / Agentic AI / LangGraph / LangChain or similar frameworks.
• Strong knowledge of Python and/or Node.js/TypeScript.
• Experience with React / Next.js.
• Good understanding of RAG, embeddings, vector databases and LLM APIs.
• Strong experience with REST APIs and third-party integrations.
• Experience with Docker, cloud deployment and CI/CD.
• Strong debugging and problem-solving skills.

Added Advantage

• Voice AI / Speech technologies
• Twilio / WebRTC / ElevenLabs
• OCR / Document AI
• Real-time or event-driven systems
• Redis / Kafka

Benefits

• Competitive Salary
• Accommodation provided
• Travel/Transportation support
• Employment Visa provided
• Medical Insurance/Medical Benefits

Important: Candidates should have hands-on experience building and deploying production AI applications. Candidates with only AI courses, certifications, prompt experimentation or academic projects will not be suitable.