Full Stack AI Engineer
At a glance
Mid-level AI Engineering role at Flatgigs. Dubai.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build production AI features by connecting LLMs to APIs, data sources, vector stores and retrieval workflows
- Create Python or Node.js APIs, data ingestion pipelines and integrations with external data services
- Develop responsive React or Vue interfaces that present live AI results and support chat, dashboards or agent workflows
- Deploy containerized services to cloud infrastructure and improve their reliability and performance
- Turn product requirements into technical plans, write tested code, review changes and support QA and client acceptance
What you bring
- You have two to three years building applications that use AI or machine-learning models, LLMs or agent workflows
- You have hands-on experience with an LLM framework or API, plus retrieval, vector storage and prompt or tool-calling patterns
- You can build REST APIs with Node.js and Express or Python, and work with SQL and NoSQL databases
- You have experience with React or Vue, Docker and cloud deployment, plus a relevant degree or equivalent practical experience
Who this fits
This is a mid-level, hands-on full-stack role for someone comfortable moving between AI integrations, backend services and user interfaces. The position is onsite in Dubai.
From the employer
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.
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.
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
Requirements
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
- Node.js & Express with REST API development, and/ or Python (FastAPI or Django)
- 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
Benefits
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