AI Software Engineer (UAE National) - Entry Level

About This Role

• Build and maintain internal applications and developer tools that leverage LLMs and other AI/ML models.
• Integrate AI capabilities into existing products and workflows (APIs, services, plugins, automations).
• Design and implement prompt workflows, retrieval-augmented generation (RAG), tool/function calling, and evaluation methods.
• Develop backend services to orchestrate model interactions, manage context, and handle structured outputs.
• Implement guardrails for safety, security, and reliability (validation, rate limiting, fallbacks, monitoring).
• Write clean, testable code and contribute to code reviews, documentation, and internal best practices.
• Help set up experimentation frameworks to evaluate model performance (quality, latency, cost).
• Collaborate with stakeholders to understand requirements and translate them into shipped features.

Requirements

Required Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent practical experience (internships, projects, bootcamps).
• Proficiency in at least one backend-friendly language (Python, TypeScript/JavaScript, Java, or Go).
• Experience building software systems (APIs/services) and shipping projects in a team or production-like environment.
• Familiarity with LLMs and modern AI concepts (prompting, embeddings, RAG, model limitations).
• Strong debugging skills and comfort working with ambiguous problems.

Preferred Qualifications

• Experience with LLM frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) or similar orchestration patterns.
• Basic ML knowledge (model evaluation metrics, dataset quality, fine-tuning vs. prompting).
• Experience with vector search, information retrieval, and document pipelines (chunking, indexing).
• Exposure to security/privacy best practices (PII handling, access controls, audit logs).
• Prior work on internal tools, automation, or developer experience initiatives.