American Express is hiring for AI Engineer I - Agentic AI -26002981 for Bengaluru/Chennai locations. The role will expire by Apr 10, 2026, 9:29:00 AM. This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers. What You’ll Do Contribute to the 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 guidance from senior engineers. Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety. Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling. Participate in operating AI systems in production, including monitoring, debugging, and improving reliability and performance. Collaborate closely with product and design partners, learning to translate customer needs into technical solutions. Technical Environment Core engineering stack Languages: Python, Go, TypeScript Cloud and infrastructure: AWS and/or GCP, Kubernetes APIs and services: REST, gRPC Distributed systems: event-driven architectures, including Kafka Agentic AI and ML Commercial and open-source LLMs integrated into agentic workflows Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation Schema validation and structured data handling AI-assisted development Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring What We’re Looking For 3+ years of professional software engineering experience. Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems (professional or project-based). Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript). Familiarity with APIs, basic cloud concepts, and modern development practices. Interest in agentic AI systems, autonomy, and AI-assisted development workflows. Preferred Qualifications Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. Internship or early-career experience in fintech or other regulated environments. Contributions to open-source projects, hackathons, or side projects related to AI or developer tooling.
PythonGoTypeScriptAWSGCP+4 more