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.
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In this role, you will:
- Design, build, and scale backend services and RESTful APIs to power AI-driven features.
- Develop and iterate on LLM-based applications, including context-aware pipelines (e.g. with vector-store retrieval).
- Own the full lifecycle: prototyping, evaluation, deployment, monitoring, and continuous iteration.
- Define KPIs, run experiments, and optimize systems based on metrics and data.
- Collaborate across product, data, and engineering to translate ideas into robust, shippable systems.
- Stay current with the evolving LLM/agent ecosystem and rapidly apply new tools or protocols (e.g., MCP).
Requirements
What you'll need (core requirements):
- 5+ years of professional software development experience with a strong backend focus.
- Experience with advanced LLM workflows: prompt engineering, inference optimization, fine-tuning, and evaluation.
- Demonstrated experience integrating generative models with external knowledge (via RAG or similar patterns).
- Practical knowledge of embeddings and vector databases (e.g. FAISS, Pinecone).
- Experience building and scaling data pipelines for LLM ingestion and retrieval.
- Strong communication skills, bias for action, and ability to thrive in fast-paced environments.
Bonus / preferred qualifications:
- Previous work with agent frameworks or context protocols.
- Experience with Agile practices and a habit of staying on top of AI research and tooling.
- Hands-on experience designing and building microservices architectures.
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Top Skills
What We Do
Build Bold.
Liberate global commerce with all the tools your business needs to create payment, payout and fintech experiences everywhere.
Around the world, customers want to pay in a thousand different ways. Businesses and consumers want to get paid faster. And developers want to build new products and possibilities. Rapyd makes it happen, giving you more ways than anyone to make fintech work for your business. With Rapyd, your business can accept and send payments to just about anyone—faster, cheaper and easier. And Rapyd clients see an average of 196% return on investment and spend 70% less time managing payments.
Whether you’re building an app, selling a product, sending payments or doing a little of everything, Rapyd has solutions that let you boldly do what you do best.
• Send and receive funds
• Add hundreds of payment methods worldwide
• Issue prepaid virtual and physical cards
• Simplify money management and foreign exchange
• Integrate fintech with APIs
