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Full Stack AI Engineer

Flatgigs · Doubaï

Mid 🇬🇧 English
OpenAI API Azure OpenAI API LangChain Python FastAPI Django Node.js Express React.js Vue.js HTML5 CSS3 JavaScript TypeScript PostgreSQL MongoDB Redis Elasticsearch Docker Azure AWS GCP CI/CD Pinecone Weaviate pgvector Prompt engineering Kafka RabbitMQ

Job description

About the role

We are seeking a hands‑on Full Stack AI Engineer to join our Dubai‑based enterprise AI company. You will build production‑grade AI‑powered features across our suite of products, ranging from backend model integrations and APIs to clean, functional front‑end interfaces.

Key responsibilities

  • Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open‑source) into production applications via APIs and SDKs.
  • Design and develop RESTful and event‑driven APIs using Python (FastAPI/Django) or Node.js (Express).
  • 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).
  • Develop responsive UI components with React.js or Vue.js and display real‑time AI outputs.
  • Work with PostgreSQL, MongoDB, Redis and Elasticsearch; create data ingestion pipelines.
  • Deploy and maintain containerised services on Azure cloud, using Docker and CI/CD pipelines.
  • Collaborate with product and QA teams, write clean documented code, and participate in code reviews.

Required profile

  • 2‑3 years of hands‑on experience building applications that incorporate AI/ML models, LLMs or agentic workflows.
  • Strong problem‑solving skills and ability to work across the full stack.
  • Experience with cloud deployment (Azure preferred) and containerisation.

Required skills

  • OpenAI / Azure OpenAI API, LangChain or similar frameworks.
  • Python (FastAPI/Django) or Node.js (Express).
  • React.js or Vue.js, HTML5, CSS3, JavaScript/TypeScript.
  • PostgreSQL, MongoDB, Redis, Elasticsearch.
  • Docker, Azure (or AWS/GCP), CI/CD pipelines.
  • Vector stores (Pinecone, Weaviate, pgvector) and prompt engineering.
  • Message queues/event streaming (Kafka, RabbitMQ) – a plus.

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Published 4 months ago

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Doubaï