AI Platform Engineer II — GenAI Production Python

Kardow

Hoboken (NJ)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Job summary

JPMorgan Chase is seeking a Software Engineer II for AI Research to design and ship production AI at scale. You will build Python-first platforms and GenAI apps, turning research into secure, scalable products while automating across cloud with CI/CD and IaC.

In this role, you will collaborate with AIR and MLCoE to shape how AI is built and deployed firm-wide, delivering trusted technology across multiple business functions and ensuring operational stability and security.

Qualifications

  • 2+ years of software engineering experience.
  • Practical experience with Infrastructure as Code, ideally Terraform.
  • Hands-on development, testing, and production readiness of software.
  • Advanced Python proficiency and code quality practices.
  • CI/CD methods and automated testing experience.
  • Strong understanding of SDLC and Model Development Life Cycle.
  • Familiarity with agile methodologies and architectural frameworks.
  • Experience using enterprise AI-assisted development tools and secure coding.

Responsibilities

  • Develop software for AI/ML platforms and GenAI-based apps in Python.
  • Design, implement, and troubleshoot scalable software solutions.
  • Collaborate with data scientists and researchers to productionize experiments.
  • Automate across cloud environments using CI/CD and IaC tooling.
  • Contribute to code quality through reviews, testing, and secure practices.
  • Apply responsible AI principles and secure data handling in development.

Skills

Python
Terraform
CI/CD
Agile methodologies
SDLC/MDLC

Tools

Jupyter Notebooks

Job description

JPMorgan Chase is seeking a Software Engineer II for AI Research to design and ship production AI at scale. You will build Python-first platforms and GenAI apps, turning research into secure, scalable products while automating across cloud with CI/CD and IaC.

In this role, you will collaborate with AIR and MLCoE to shape how AI is built and deployed firm-wide, delivering trusted technology across multiple business functions and ensuring operational stability and security.

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