AI Engineer III

American Express • New York, NY

3h • $103,750 - $174,750

About The Position

As an AI Engineer III – Agentic AI, you will contribute hands-on to developing production agentic AI systems that operate on financial data and serve customers. You will work with experienced engineers, product managers, and designers to build and ship AI-powered features, participate in system design discussions, and help operate systems after launch. The role offers mentorship and opportunities to deepen technical skills in LLMs, agentic systems, and production AI engineering. It is a production engineering role, not a research-only role, and work is supported and guided by more senior engineers.

The Enterprise AI Platforms Team builds platforms, products, and governance for enterprise AI, supporting experimentation, deployment, and responsible operation of AI systems at scale. The team works with stakeholders to advance use cases from inception through implementation. Agentic AI systems are designed to plan, reason, and act across complex workflows, with attention to security, explainability, reliability, and compliance in financial services.

The technical environment includes Python, Go, and TypeScript; AWS and/or GCP; Kubernetes; REST and gRPC APIs; and event-driven distributed architectures, including Kafka. AI work involves commercial and open-source LLMs, agent orchestration, retrieval-augmented generation, vector storage, evaluation tooling, schema validation, and structured data handling. Engineers also use AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring while maintaining production-quality standards. Systems are expected to meet high standards for reliability, security, and auditability.

Requirements

• At least 4 years of professional software engineering experience.
• Some hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems, through professional work or projects.
• 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.
• Willingness to learn, take feedback, and grow technical ownership over time.
• Comfort working in collaborative, cross-functional teams.
• A strong customer mindset and curiosity about real-world problem solving.
• Bachelor’s degree required.

Nice To Haves

• 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.

Responsibilities

• 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, emphasizing correctness and safety.
• Contribute to shared AI infrastructure, including 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 with product and design partners to translate customer needs into technical solutions.
• Write production code, contribute to system design discussions, and help operate systems after launch.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level