AI Software Engineer at Rapyd Financial Network (2016) Ltd.

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Development, AI/ML Models, NLP, Deep Learning, RESTful APIs, Microservices, LLMs, RAG Pipelines, Vector-Store Retrieval, Data Analysis, Prototyping, Deployment, Monitoring, Collaboration, Agile Practices, Prompt Engineering

Industry

Financial Services

Description

Description Rapyd 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, Twitter In 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. Requirements What you'll need: 4+ years of professional software development experience with a strong backend focus Proven track record building and deploying AI/ML models (NLP/deep learning) Hands-on expertise with RESTful APIs and microservices architecture Practical experience with : LLMs, RAG pipelines, or vector-store–based retrieval Excellent communication, a bias for action, and comfort working in fast-moving teams Bonus points for Solid grounding in data-science fundamentals (statistics, preprocessing, feature engineering) Experience integrating generative models with external knowledge via RAG Proficiency with embeddings and vector databases (e.g., FAISS, Pinecone) Working knowledge of LLM workflows: prompt engineering, inference, fine-tuning, and evaluation Familiarity with Agile practices and a habit of staying on top of the latest AI research and tools Job Candidate Privacy Policy - https://www.rapyd.net/candidate-privacy-policy

Responsibilities

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.