نوع العمل : عمل كلى
الخبرة : 0-3 سنة
الراتب : Not mentioned
المكان : United Arab Emirates
الخبرة : 0-3 سنة
الراتب : Not mentioned
المكان : United Arab Emirates
Job Details
Experience Needed:Not SpecifiedCareer Level:Entry Level (Junior Level / Fresh Grad)Education Level:Not SpecifiedSalary:Confidential
Experience Needed:Not Specified
Career Level:Entry Level (Junior Level / Fresh Grad)
Education Level:Not Specified
Salary:Confidential
Skills And Tools:
Job Description
DescriptionRapyd has unified payments, payouts and fintech on one worldwide platform, and we’re assembling the world’s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let’s build the future of fintech together.We’re looking for a builder with a backend backbone—someone who can spot an opportunity, sketch a solution, and ship a working service fast. You’ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.You’ll work at the edge of what’s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, TwitterIn this role you’ll:Design, build, and scale backend services and RESTful APIs that power AI features.Train, deploy, and maintain ML models—especially in NLP and deep learning contexts.Stand up and iterate on LLM-driven apps, including RAG pipelines and vector-store retrieval.Own end-to-end delivery: prototyping, evaluation, deployment, monitoring, and iteration.Define clear KPIs, run experiments, and optimize based on what the data says.Collaborate with product, data, and engineering to turn ideas into shippable systems.Stay current on the LLM ecosystem and quickly put new tools and methods to work.RequirementsWhat you’ll need:4+ years of professional software development experience with a strong backend focusProven track record building and deploying AI/ML models (NLP/deep learning)Hands-on expertise with RESTful APIs and microservices architecturePractical experience with : LLMs, RAG pipelines, or vector-store–based retrievalExcellent communication, a bias for action, and comfort working in fast-moving teamsBonus points forSolid grounding in data-science fundamentals (statistics, preprocessing, feature engineering)Experience integrating generative models with external knowledge via RAGProficiency with embeddings and vector databases (e.g., FAISS, Pinecone)Working knowledge of LLM workflows: prompt engineering, inference, fine-tuning, and evaluationFamiliarity with Agile practices and a habit of staying on top of the latest AI research and toolsJob Candidate Privacy Policy – https://www.rapyd.net/candidate-privacy-policy للتقديم الان
DescriptionRapyd has unified payments, payouts and fintech on one worldwide platform, and we’re assembling the world’s best team to liberate global commerce. With offices in Tel Aviv, Amsterdam, Singapore, Iceland, London, Dubai, Hong Kong, and the U.S., the opportunities at Rapyd are limitless.We believe in straight talk, quick decisions, strong execution and elegant solutions. Rapyd is where hard work pays off and careers take off. Join us and let’s build the future of fintech together.We’re looking for a builder with a backend backbone—someone who can spot an opportunity, sketch a solution, and ship a working service fast. You’ll turn AI ideas into production-grade APIs and microservices, then iterate based on real data and feedback.You’ll work at the edge of what’s possible with LLMs, RAG pipelines, and vector-based retrieval. The mission: wire up smart systems that automate workflows, elevate productivity, and make AI feel less like magic and more like reliable infrastructure.Get the tools to grow globally at www.rapyd.net. Follow: Blog, Insta, LinkedIn, TwitterIn this role you’ll:Design, build, and scale backend services and RESTful APIs that power AI features.Train, deploy, and maintain ML models—especially in NLP and deep learning contexts.Stand up and iterate on LLM-driven apps, including RAG pipelines and vector-store retrieval.Own end-to-end delivery: prototyping, evaluation, deployment, monitoring, and iteration.Define clear KPIs, run experiments, and optimize based on what the data says.Collaborate with product, data, and engineering to turn ideas into shippable systems.Stay current on the LLM ecosystem and quickly put new tools and methods to work.RequirementsWhat you’ll need:4+ years of professional software development experience with a strong backend focusProven track record building and deploying AI/ML models (NLP/deep learning)Hands-on expertise with RESTful APIs and microservices architecturePractical experience with : LLMs, RAG pipelines, or vector-store–based retrievalExcellent communication, a bias for action, and comfort working in fast-moving teamsBonus points forSolid grounding in data-science fundamentals (statistics, preprocessing, feature engineering)Experience integrating generative models with external knowledge via RAGProficiency with embeddings and vector databases (e.g., FAISS, Pinecone)Working knowledge of LLM workflows: prompt engineering, inference, fine-tuning, and evaluationFamiliarity with Agile practices and a habit of staying on top of the latest AI research and toolsJob Candidate Privacy Policy – https://www.rapyd.net/candidate-privacy-policy