About the Role
As part of a dynamic team, you will develop and integrate enterprise AI solutions, including GenAI applications, RAG pipelines, AI agents, copilots, automation workflows, and reusable AI platform components. This role encompasses building innovative GenAI apps, RAG components, prompt flows, data connectors, APIs, and AI agents while ensuring a seamless user experience through responsive user interface design.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Key Responsibilities
- Develop and integrate enterprise AI solutions, including GenAI apps, RAG pipelines, AI agents, and automation workflows.
- Design and build responsive user interfaces using React, Next.js, TypeScript, HTML5, CSS3, and modern UI component libraries such as Material UI and Tailwind CSS.
- Implement vector indexes, embeddings, document processing, and knowledge grounding using Azure AI services.
- Create proofs of concepts (PoCs), minimum viable products (MVPs), and reusable accelerators for client demonstrations and delivery mobilization.
- Support testing, evaluation, groundedness checks, performance tuning, monitoring, and cost optimization.
- Document designs, deployment steps, and reusable implementation patterns.
- Collaborate with consultants, product owners, architects, UX designers, and governance specialists.
Experience and Skills Required
- 5-8 years of experience in software, data, AI, cloud development, or automation.
- Hands-on experience building GenAI, Agentic Harness, RAG, chatbots, AI/ML, or enterprise integration solutions.
- Proficient in Python with strong frontend development capabilities as well as experience working with APIs, SDKs, and source control.
- Familiarity with Agile teams and the ability to communicate technical trade-offs effectively.
- Experience with backend frameworks such as Python and FastAPI, in addition to modern frontend development using React or Next.js.
- Knowledge of Azure OpenAI, Azure AI Foundry, Azure AI Search, and fundamentals of Azure ML.
- Understanding of RAG pipelines, embeddings, vector search, prompt engineering, and evaluation techniques.
- Experience with agent frameworks, orchestration, tool calling, and workflow automation.
- Proficient in working with APIs, databases, message queues, files, and enterprise connectors.
- Familiar with Git, CI/CD, containers, configuration, and automated testing practices.
- Knowledge of AI quality metrics, including test datasets, regression checks, hallucination checks, groundedness, latency, and cost optimization.
- Understanding of responsible AI implementation, including content filters, guardrails, logging, and human review processes.
