Description
You won't be stuck writing documentation all day. You will be writing code that ships to production. You will work alongside senior engineers to integrate Large Language Models (LLMs) and smart algorithms into our payment systems. This is a chance to learn modern AI engineering (RAG, Agents, Vector DBs) while mastering the fundamentals of scalable software development.
Responsibilities
- Write Code That Matters:Build and maintain backend services (Python/Java) that connect AI models to our payment processing systems.
- Build Smart Features:Help develop features like an AI-powered chatbot for bill disputes or a real-time anomaly detector for transactions.
- Work with Modern AI Tools:Get hands-on with
LangChain, Vector Databases (like Pinecone), and LLM APIs (OpenAI, etc.)
to build "agentic" workflows. - Learn the Fintech Ropes:Understand how money actually moves—witness the challenges of real-time data, security, and scale.
- Own Small Features End-to-End:Design, code, test, and deploy your own features with the support and mentorship of senior engineers.
- Optimize and Debug:Learn how to make AI fast (low latency) and reliable (99.99% uptime) for financial applications.
Company
RedotPay offers a stablecoin-based payments platform that includes a crypto card, a multi-currency wallet, credits, earning rewards, and a P2P marketplace. Users can send funds to banks and e-wallets, spend with card payments, and access stablecoins through a global network. The platform emphasizes secure transfers, low-friction conversions, and real-time settlements, enabling individuals and businesses to transact across borders with stablecoins and local currencies. It highlights regulatory compliance and security as core pillars, and has plans to expand to new corridors.
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