Collaborate with multidisciplinary teams (data scientists, software engineers, product managers) to develop and enhance scalable AI systems.
Research, evaluate, and integrate new AI technologies, frameworks, and tools to optimize the efficiency, security, and performance of payment systems.
Build and deploy AI solutions using Python, LLM libraries, third-party AI services, and AWS services.
5+ years of experience with Python, LLM frameworks (LangChain, LlamaIndex), and interactive data applications (Streamlit, Gradio).
Experience with Docker.
Knowledge of scalability patterns (caching, parallelism, routing, asynchrony, decoupling, etc.).
Familiarity with LLM application architectures and prompt engineering techniques/patterns.
Experience with DevOps best practices: version control (Git), infrastructure as code (IaC), and CI/CD.
Experience with cloud infrastructure (AWS, Azure, or GCP).