JobMatcherJobMatcherJobMatcherRole: AI Engineer – Agentic AI. You will be a hands-on builder contributing to production agentic AI systems that operate on real financial data and serve real customers. You will work with experienced engineers, product managers, and designers to design, build, and ship AI-powered features in a regulated, customer-facing environment. The role offers mentorship and opportunities to deepen expertise in LLMs, agentic systems, and production AI engineering. This is not a research-only position; you will write production code, contribute to system design, and help operate what you build after launch with support from more senior engineers.
Role: AI Engineer – Agentic AI. You will be a hands-on builder contributing to production agentic AI systems that operate on real financial data and serve real customers. You will work with experienced engineers, product managers, and designers to design, build, and ship AI-powered features in a regulated, customer-facing environment. The role offers mentorship and opportunities to deepen expertise in LLMs, agentic systems, and production AI engineering. This is not a research-only position; you will write production code, contribute to system design, and help operate what you build after launch with support from more senior engineers.
Technical environment: - 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 tools for design, implementation, testing, debugging, and refactoring; producing reliable, auditable systems in a financial services environment.
About Amex: American Express values innovation, trust, and customer service; you’ll be part of a team delivering agentic AI capabilities that help reduce operational friction and improve decision-making.
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Technical environment: - 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 tools for design, implementation, testing, debugging, and refactoring; producing reliable, auditable systems in a financial services environment.
About Amex: American Express values innovation, trust, and customer service; you’ll be part of a team delivering agentic AI capabilities that help reduce operational friction and improve decision-making.
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Based on: AI Engineer – Agentic AI
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