
AI-Powered Payments Specialist
13 hours ago
As a key contributor to our team, you will work at the intersection of AI and payment technology to develop scalable AI-powered systems, design intelligent agents, and contribute to the development of innovative GenAI-driven applications.
You will be responsible for architecting and implementing robust backend systems while integrating cutting-edge AI capabilities such as Retrieval-Augmented Generation (RAG), prompt engineering, and intelligent agent frameworks. Our ideal candidate has hands-on experience in building agentic systems using Generative AI technologies, and is passionate about applying their expertise in FinTech or payments domain.
Key Responsibilities:
- Backend Development: Design, develop, and maintain robust Python-based backend systems with a focus on scalability, performance, and security.
- Intelligent Agent Frameworks: Integrate and work with AI Agent frameworks and agentic development patterns.
- RAG Pipelines: Build and deploy RAG pipelines and intelligent APIs powered by Generative AI.
- RESTful APIs: Develop and consume RESTful APIs to support data exchange and service integration.
- Database Management: Work with relational databases such as MySQL and PostgreSQL for structured data management.
- Containerization: Utilize Docker for containerization and deploy services in microservices architecture.
- Cross-functional Collaboration: Collaborate with cross-functional teams to drive innovation and delivery of AI-first features.
- Prompt Engineering: Apply prompt engineering techniques to fine-tune LLM interactions and outputs.
- AI Coding Tools: Use tools such as Vibe (or equivalent AI coding assistants) to enhance development workflows.
- Tech Staying Current: Stay current with emerging trends in Generative AI and continuously explore ways to apply them within our systems.
Required Skills and Qualifications:
- Professional Experience: 4 to 8 years of professional experience in backend development using Python.
- Object-Oriented Programming: Strong experience with object-oriented programming and backend software engineering.
- AI Agent Frameworks: Experience working with any AI Agent frameworks (e.g., LangChain, AutoGPT, CrewAI, Semantic Kernel).
- RESTful API Design: Solid understanding of RESTful API design and implementation.
- Relational Databases: Hands-on experience with relational databases (MySQL, PostgreSQL).
- Version Control: Proficiency with version control tools, especially Git.
- Docker: Familiarity with Docker for containerization and environment replication.
- Microservices: Experience working with microservices and distributed systems.
- AI Coding Tools: Working knowledge of Vibe or similar AI coding tools.
- Generative AI Technologies: Solid understanding and experience with Generative AI technologies (e.g., LLMs, RAG, prompt engineering).
- Problem Solving: Demonstrated ability to creatively apply GenAI in solving real-world problems, ideally in FinTech or payments.
- Soft Skills: Get-it-done mindset: fast learner, self-starter, and proactive problem solver.
Preferred Qualifications:
- Payments Domain: Experience in the payments or FinTech domain.
- Open-source Contributions: Contributions to open-source AI/ML projects or published work in the GenAI space.
- Cloud Platforms: Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.
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