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American Express
American Express
B2BFinanțeServicii bancare
American Express este o companie globală de servicii financiare care activează în domeniile bancar, financiar și al plăților între companii. Activitatea sa include carduri de credit pentru consumatori, companii și corporații; servicii de plată și pentru comercianți; conturi de economii, certificate de depozit și împrumuturi personale; precum și programe de recompense, programe de călătorii, soluții de plată pentru companii, educație financiară, servicii de securitate și asistență pentru membrii care dețin carduri și pentru comercianți.
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Locurile de muncă ale companiei

AI Engineer III - LLM and Agentic AI (Hybrid)

Build production LLM and agentic AI capabilities at American Express in a hybrid role. Develop RAG pipelines and enterprise AI infrastructure for secure financial-services applications.

USStatele Unite ale AmericiiFLFlorida
103.750 $ – 174.750 $ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer AIInginer de învățare automată
CloudGoPythonTypeScript

Descriere

  • Help design and deliver LLM-powered and agentic product capabilities
  • Develop agentic AI workflows that use context, tools, and actions with guidance from senior engineers
  • Build and maintain retrieval-augmented generation pipelines for financial data, prioritizing accuracy and safety
  • Support shared AI infrastructure, including LLM services, orchestration systems, and evaluation or monitoring tools
  • Monitor, troubleshoot, and improve the reliability and performance of production AI systems
  • Work with product and design partners to turn customer needs into practical technical solutions
  • Apply AI-assisted and agentic development tools across design, coding, testing, debugging, and refactoring
  • Uphold production standards for reliability, security, and auditability

Cerințe

  • At least four years of professional software engineering experience
  • Practical experience developing AI-powered features, LLM applications, or applied machine learning systems
  • Strong software engineering fundamentals in Python, Go, or TypeScript
  • Working knowledge of APIs, foundational cloud concepts, and modern development practices
  • Interest in agentic AI, autonomous systems, and AI-assisted development workflows
  • Openness to learning, receiving feedback, and expanding technical ownership
  • Ability to work effectively in collaborative, cross-functional teams
  • Customer-focused approach and curiosity about solving practical problems
  • Bachelor’s degree required
  • Preferred experience with LLM tooling, prompt engineering, RAG, or agent frameworks
  • Preferred internship or early-career experience in fintech or another regulated industry
  • Preferred involvement in open-source projects, hackathons, or AI and developer-tooling side projects

Beneficii

  • Bonus eligibility
  • Employee benefits
  • Visa sponsorship may be available depending on business-unit requirements, position scope, cost, and applicable law
  • Mentorship and opportunities to deepen expertise in LLMs, agentic systems, and production AI engineering
  • Hybrid work arrangement

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