AI Engineer III

American Express
India
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Collaboration","Customer mindset","Technical ownership","Learning mindset","Reliability focus"]

Design and implement LLM-powered, agentic product features, including agent workflows that reason over context, call tools, and perform actions under guidance. Build and maintain retrieval-augmented generation (RAG) pipelines over financial data with a focus on correctness and safety. Contribute to shared AI infrastructure (LLM services, orchestration, evaluation/monitoring) and help operate AI systems in production with monitoring, debugging, and reliability improvements. Collaborate cross-functionally with product and design.

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FursaFursa
American Express
American Express
21 hours ago

AI Engineer III

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design and implement LLM-powered, agentic product features, including agent workflows that reason over context, call tools, and perform actions under guidance. Build and maintain retrieval-augmented generation (RAG) pipelines over financial data with a focus on correctness and safety. Contribute to shared AI infrastructure (LLM services, orchestration, evaluation/monitoring) and help operate AI systems in production with monitoring, debugging, and reliability improvements. Collaborate cross-functionally with product and design.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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.
  • •Help implement and maintain RAG pipelines over financial data with correctness and safety in mind.
  • •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.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceRetirementHybrid

Key Requirements

  • •4+ years of professional software engineering experience.
  • •Hands-on experience building or contributing to AI-powered features, LLM-based applications, or applied ML systems.
  • •Solid engineering fundamentals in at least one backend language (Java/Javascript, 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.
Experience:4+ yearsFintechAIMachine learningLLMsAgentic AIRetrieval-augmented generation (RAG)Distributed systems
Education:Bachelor's
Skills:CollaborationCustomer mindsetTechnical ownershipLearning mindsetReliability focus
Languages:English
Tech Stack:PythonGoTypeScriptJavaJavaScriptAWSGCPKubernetesRESTGRPCKafkaLLMsAgent orchestrationRAGVector storageEvaluationMonitoringSchema validationStructured data

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn