AI Software Engineer (UAE National) - Entry Level

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.