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    Home/Jobs/AI Engineer III - Agentic AI

    AI Engineer III - Agentic AI

    American Express

    New York City
    4+ years
    Today
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    Python
    Go
    TypeScript
    AWS
    GCP
    Kubernetes
    REST
    gRPC
    Distributed systems
    Event-driven architectures
    Schema validation
    Structured data handling

    Description

    Join Amex Tech to discover and shape your contribution to something big. Work alongside talented tech teams and build a unique career with the Powerful Backing of American Express.

    Company: American Express

    Role: AI Engineer III - Agentic AI

    Location: New York, NY, United States, Phoenix, AZ, United States, Charlotte, NC, United States, Palo Alto, CA, United States, Sunrise, FL, United States (Remote)

    Experience:

    • 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

    Key Skills:

    • Python
    • Go
    • TypeScript
    • AWS
    • GCP
    • Kubernetes
    • REST
    • gRPC
    • Kafka
    • LLMs
    • Agentic AI
    • Retrieval-augmented generation (RAG)
    • Vector storage
    • Schema validation

    Qualification:

    • Solid engineering fundamentals in at least one backend language (Python, Go, or TypeScript)
    • Familiarity with APIs, basic cloud concepts, and modern development practices

    Role Focus:

    • Contribute to the design and implementation of LLM-powered and agentic product features
    • Build and extend agentic AI workflows
    • Help implement and maintain retrieval-augmented generation (RAG) pipelines
    • Contribute to shared AI infrastructure
    • Participate in operating AI systems in production
    • Collaborate closely with product and design partners

    Nice to have:

    • Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks
    • 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

    Other:

    • Competitive base salaries
    • Bonus incentives
    • 6% Company Match on retirement savings plan
    • Free financial coaching and financial well-being support
    • Comprehensive medical, dental, vision, life insurance, and disability benefits
    • Flexible working model with hybrid, onsite or virtual arrangements
    • 20+ weeks paid parental leave for all parents
    • Free access to global on-site wellness centers
    • Free and confidential counseling support through Healthy Minds program
    • Career development and training opportunities

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

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