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Job DescriptionYou must be located in Riyadh, Saudi Arabia or open to traveling there and staying for 6 months.5 days a week onsite{ALL EXPENSES WILL BE COVERED}RoleYou will be responsible for designing and developing Aiser’s end-to-end AI platform, including backend orchestration, frontend interfaces, and consensus pipelines across multiple AI providers.About the opportunity: We are building a next-generation AI-powered platform. The platform integrates multiple AI providers to deliver specific outputs.ResponsibilitiesArchitect and implement multi-provider orchestration pipelines (OpenAI, Claude, DeepSeek, Mistral, Perplexity, etc.) Develop consensus logic to merge, cross-verify, and rank model outputs. Build scalable backend infrastructure (APIs, secure model routing, monitoring). Deliver intuitive frontend interfaces for exporting consulting deliverables (PPT, Excel, Word, PDF, CSV). Implement RAG pipelines (vector DBs, embeddings) for knowledge-based consulting. Optimize for performance, latency, and cost (premium vs. bulk AI usage). Ensure compliance-ready architecture suitable for global rollouts (US/EU/GCC). RequirementsProven experience in AI full-stack development (backend + frontend + AI model orchestration). Hands-on with multiple LLM providers (at least 3 of: OpenAI, Anthropic, DeepSeek, Mistral, Perplexity). Strong backend skills (Python, Node.js) and frontend frameworks (React/Next.js). Expertise with vector databases (Pinecone, Weaviate, FAISS) and RAG systems. Experience in exporting structured consulting deliverables (PPT, Excel, Word, PDF). Strong understanding of AI cost/latency trade-offs and fallback strategies. Excellent communication and ability to document architecture clearly.Candidates must provide at least 2 case studies (e.g., demo links, GitHub repos, architecture slides, or project briefs) demonstrating: Multi-provider AI orchestration or consensus systems. Full-stack AI platform development with consulting/business deliverables.