Job description
Our client is an enterprise AI company headquartered in Dubai, UAE.
We build and deploy AI-native products across social intelligence, agentic AI platforms, voice AI, cyber deception and computer vision - serving government, enterprise and telcos clients across the UAE and GCC.
ROLE OVERVIEW We are looking for a hands-on Full Stack AI Developer to join our engineering team.
You will be responsible for building production-grade AI-powered features across our product suite - from backend model integrations and APIs to clean, functional front-end interfaces.
The ideal candidate has 2–3 years of real-world experience building applications that incorporate AI/ML models, LLMs, or agentic workflows and is comfortable working across the full stack.
KEY RESPONSIBILITIES AI / ML Integration Related: Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source) into production applications via APIs and SDKs Build and maintain agentic workflows, multi-step reasoning pipelines and tool-calling patterns Connect AI models to structured/unstructured data sources, vector databases and retrieval pipelines (RAG & GRAG) Implement prompt engineering, chaining and context management for reliable AI outputs Backend Development Related: Design and build RESTful and event-driven APIs using Python (FastAPI / Django) or Node.
js Work with relational and non-relational databases (PostgreSQL, MongoDB, Redis) along with Elasticsearch Build data ingestion pipelines and integrate third-party data APIs (social, news, enterprise systems) Deploy and maintain containerized services on cloud infrastructure (Azure preferred) Frontend Development Related Develop responsive, functional UI components using the likes of React.
js or Vue.js Consume and display real-time or streaming AI outputs in clean, user-ready interfaces Collaborate with product on UX flows for AI-assisted features (dashboards, chat UIs, agent interfaces) Collaboration & Quality Related Work closely with the engineering team and product leads to translate requirements into technical specifications Write clean, documented, and testable code; participate in code reviews Identify performance bottlenecks and propose practical solutions Support QA and UAT cycles for client-facing deployments WHAT WE OFFER: Competitive salary benchmarked to market Direct exposure to cutting-edge enterprise AI projects across UAE and GCC Flat team structure - work directly with founders and senior engineers Opportunity to grow into a Senior or Lead Engineer role Flexible remote/hybrid work arrangements Fast-paced environment where your work ships to production and reaches real clients AI / LLM Hands-on experience with OpenAI / Azure OpenAI API, LangChain, or similar frameworks Familiarity with RAG patterns, vector stores (Pinecone, Weaviate, pgvector), and embeddings Understanding of prompt engineering, function/tool calling, and agentic orchestration Backend Python (FastAPI or Django) and/or Node.
js with REST API development SQL and NoSQL databases; basic query optimisation Experience with Docker and cloud deployment (Azure, AWS, or GCP) Familiarity with message queues or event streaming (e.
g., Kafka, RabbitMQ) is a plus Frontend React.
js or Vue.js with component-based architecture Working knowledge of HTML5, CSS3, and JavaScript/TypeScript Ability to build clean data visualisation interfaces (charts, dashboards) General Git-based version control and CI/CD workflows Strong problem-solving skills and ability to work in a fast-paced, delivery-focused environment Good written and verbal communication in English Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience NICE TO HAVE Experience with Microsoft Azure AI Foundry, Azure AI Search, or Azure Bot Framework Exposure to computer vision APIs or model inference pipelines Prior work on social media data ingestion, sentiment analysis, or NLP pipelines Experience building voice AI integrations (STT/TTS, telephony APIs) Contributions to open-source AI/ML projects Familiarity with GCC enterprise environments or government IT constraints
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