Director of AI Engineering for Clinical Development at Pfizer developing AI solutions for operational challenges. In this hands - on position, leverage AI and ML to advance clinical operations and decision - making.
About the role
- Full Stack AI Engineer responsible for building production-grade AI features at an enterprise AI company in Dubai. Working across backend and frontend integrations with AI applications in a hybrid work environment.
Responsibilities
- Responsible for building production-grade AI-powered features across product suite
- Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, open-source) into production applications
- 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
- Implement prompt engineering, chaining and context management for reliable AI outputs
- Design and build RESTful and event-driven APIs using Python or Node.js
- Work with relational and non-relational databases along with Elasticsearch
- Build data ingestion pipelines and integrate third-party data APIs
- Deploy and maintain containerized services on cloud infrastructure
- Develop responsive, functional UI components using React.js or Vue.js
- Collaborate with product on UX flows for AI-assisted features
- 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
- 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
- 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
- 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)
- 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
- 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
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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