Senior AI Engineer – Agentic & LLM Platforms

American Express; Palo Alto (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

American Express is seeking an experienced software engineer to contribute to AI-powered features and agentic workflows within Amex Tech. You will collaborate with product and design partners to translate customer needs into scalable solutions.

You should have 4+ years in backend development, comfort with Python/Go/TypeScript, and exposure to ML or LLM tooling in fintech contexts. This role offers growth in a high‑impact, security‑driven environment.

Qualifications

• 4+ years of professional software engineering experience.
• Familiarity with APIs, cloud concepts, and modern dev practices.

Responsibilities

• Contribute to design and implementation of LLM-powered and agentic product features.
• Build and extend agentic AI workflows that reason over context, call tools, and perform actions under senior guidance.
• Help implement and maintain retrieval-augmented generation pipelines over financial data with emphasis on correctness and safety.
• Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation/monitoring tooling.
• Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance.
• Collaborate with product and design partners to translate customer needs into technical solutions.

Skills

AI-powered features

Agentic AI systems

Collaboration with cross-functional团队

Customer mindset

Tools

Python

Go

TypeScript

AWS

GCP

Kubernetes

REST

gRPC

Kafka

Job description

American Express is seeking an experienced software engineer to contribute to AI-powered features and agentic workflows within Amex Tech. You will collaborate with product and design partners to translate customer needs into scalable solutions.

You should have 4+ years in backend development, comfort with Python/Go/TypeScript, and exposure to ML or LLM tooling in fintech contexts. This role offers growth in a high‑impact, security‑driven environment.