American Express is looking to design, develop, and deploy applied systems built upon AI and traditional technologies, focusing on rapid prototyping and scalable enterprise solutions with emerging technologies.
Requirements
- 5+ years professional experience with Python.
- Proven expertise with LangChain & Langraph.
- Strong in prompt engineering and LLM orchestration.
- Backend development experience (FastAPI/Flask/Django).
- Familiar with concurrency, async, and performance tuning.
- Experience deploying enterprise-grade AI services (APIs, microservices, cloud).
- Awareness of AI safety frameworks.
Responsibilities
- Build and orchestrate LLM applications with LangChain & Langraph.
- Design prompts, chains, and agents; optimize for performance.
- Implement model validation, monitoring, and guardrails for safety & compliance.
- Develop APIs and web services with FastAPI/Flask/Django.
- Optimize performance (async, concurrency, parallelism, resource usage).
- Deploy scalable AI systems with Docker/Kubernetes and CI/CD pipelines.
Other
- The ideal candidate will specialize in business applications of Artificial Intelligence (AI) and Machine Learning (ML).
- The focus of the role is on rapid prototyping and designing scalable enterprise solutions with emerging technologies.
- Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.
