
AI-Driven Payment Technology Solutions Architect
3 days ago
We're looking for a seasoned Machine Learning Engineer to design and implement scalable AI-powered systems at the intersection of artificial intelligence and payment technology.
This role requires a strong background in backend development, hands-on experience with generative AI technologies, and the ability to design intelligent agents and integrate cutting-edge AI capabilities.
Key Responsibilities:
- Design and develop robust Python-based backend systems with a focus on scalability, performance, and security.
- Integrate and work with AI Agent frameworks and agentic development patterns.
- Build and deploy RAG pipelines and intelligent APIs powered by generative AI.
- Develop and consume RESTful APIs to support data exchange and service integration.
- Work with relational databases for structured data management.
- Utilize Docker for containerization and deploy services in microservices architecture.
- Collaborate with cross-functional teams to drive innovation and delivery of AI-first features.
Requirements:
- 4 to 8 years of professional experience in backend development using Python.
- Strong experience with object-oriented programming and backend software engineering.
- Experience working with AI Agent frameworks (e.g., LangChain).
- Solid understanding of RESTful API design and implementation.
- Hands-on experience with relational databases (MySQL).
- Proficiency with version control tools, especially Git.
- Familiarity with Docker for containerization and environment replication.
- Experience working with microservices and distributed systems.
A successful candidate will have excellent problem-solving skills, be able to work effectively in a team environment, and possess strong communication and collaboration skills. They will also stay up-to-date with industry trends and developments in AI and machine learning.
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