American Express · Sunrise, FL, United States
Skills: Python, SQL, AWS, Docker, CI/CD
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
We are looking for a motivated and hands-on Full Stack Software Engineer with strong Python programming fundamentals, experience working with Relational and NoSQL databases, and practical exposure to Generative AI (GenAI) and Agentic AI development. The ideal candidate will be passionate about building scalable applications, integrating Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) solutions, and developing AI-powered workflows using frontier and open-source models.
This role offers an opportunity to work on both modern AI technologies and contributing to enterprise-grade software applications.
Required Qualifications
Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience. 1-3 years of enterprise experience in software development using Python. Strong understanding of Python programming, object-oriented programming, data structures, and APIs. Hands-on experience with at least one Relational database and one NoSQL database. Working knowledge of SQL, database design, and data retrieval. Practical experience integrating LLMs into Python applications. Understanding of embeddings, vector databases, semantic search, and RAG architectures. Familiarity with frontier and open-source LLMs. Basic understanding of agentic AI concepts, tool calling, and AI workflow orchestration. Experience using Git and common development tools. Knowledge of Docker, CI/CD pipelines, and deployment practices. Stro…
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