Job description

Rapyd’s AI Software Engineer role in Dubai focuses on designing, building, and scaling backend services and RESTful APIs to power AI-driven features within a unified global FinTech platform for payments, payouts, and financial technology. The position turns AI ideas into production-grade APIs and microservices, developing and iterating on LLM-based applications including context-aware pipelines with vector-store retrieval, and integrating generative models with external knowledge via retrieval-augmented generation (RAG). The engineer owns the full lifecycle—prototyping, evaluation, deployment, monitoring, and continuous iteration—defining KPIs, running experiments, and optimizing systems based on metrics and data. The role requires hands-on work with embeddings, vector databases such as FAISS and Pinecone, and building and scaling data pipelines for LLM ingestion and retrieval, while staying current with the evolving LLM/agent ecosystem and rapidly applying new tools or protocols (e.g., MCP). Collaboration spans product, data, and engineering to translate ideas into robust, shippable systems, operating at the edge of what’s possible with LLMs, RAG pipelines, and vector-based retrieval to automate workflows, elevate productivity, and make AI a reliable part of Rapyd’s infrastructure.