Software Engineer III - AI Research

Testing Site - JPMC; Jersey City (NJ); Sur place; USD 130 000 - 200 000; Plein temps

Résumé du poste

JPMorgan Chase is seeking a Software Engineer III to design Python-driven AI/ML platforms and GenAI apps for production use. You will develop secure, scalable solutions and automate deployments across cloud environments using modern CI/CD practices and Infrastructure as Code.

You will work with AIR and MLCoE to translate research into robust, production-grade software, partnering with Data Scientists and AI Researchers to advance experiments toward scalable outcomes.

Qualifications

• Formal training or certification in software engineering concepts
• 3+ years of applied software engineering experience
• Hands-on experience with software development, testing, and operational stability
• Advanced proficiency in Python and related tooling
• Experience with CI/CD/CT and automation practices

Responsabilités

• Develops and writes software applications for AI/ML platforms and AI-based applications including agents, with strong Python focus
• Applies creative problem-solving to design, develop, and troubleshoot solutions
• Explores agent-based programming and latest techniques for production readiness
• Streamlines remediation of recurring issues to improve reliability and efficiency
• Uses CI/CD to deliver cloud platforms and supports experimentation environments (e.g., Jupyter)
• Collaborates with Data Scientists and AI Researchers to productionize experiments
• Contributes to a culture of opportunity, inclusion, and respect

Connaissances

Python

CI/CD

Agile methodologies

SDLC/MDLC

Automation

Formation

Formal software engineering training or certification

Outils

Terraform

Description du poste

Bring your engineering skills and Join JPMorgan Chase where you will build and ship production AI at global scale. As a Software Engineer III on JPMorgan Chase’s AI/ML Data Platforms — AI Research team, you’ll design Python‑first platforms and GenAI apps (including agents), turn research into secure, scalable products, and automate across cloud with modern CI/CD and IaC. Partner with AIR and MLCoE to shape how AI is built and deployed across the firm.

As a Software Engineer III at JPMorgan Chase withinthe AI/ML Data Platforms - AI Researchteam,youare an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You willbe responsible fordelivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s businessobjectives. In this context, your primary clients will be AI Research (AIR) and the Machine learning Centre of Excellence (MLCoE)

Job responsibilities

• Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents – particularly strong in Python.

• Utilizes creative problem-solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.

• Has an interestand familiarity with agent-based programing, especially with newest techniques

• Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.

• Uses CI/CD to deliver public and private cloud platforms, as well as familiarity with experimentation environments (e.g. Jupyter Notebooks)

• Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.

• Adds to team culture of opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ yearsofapplied experience
• Practical experience in Infrastructure as Code development, ideally using Terraform.
• Hands-on practical experience in application development, testing, and ensuring operational stability.
• Advancedproficiencyin one or more programming languages, with a strong focus on Python.
• Expertiseautomation and continuous integration, delivery, and testing (CI/CD/CT) methods.
• Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
• Deep understanding of agile methodologies and basicproficiencyin architectural frameworks.
• Demonstratedproficiencyin platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, etc.).

Preferred qualifications, capabilities, and skills– you can only have 4 bullets preferred

• Demonstrates initiative in learning and adapting tonew technologiesand methodologies, as well as demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.

• Self-motivated and proactive, with a strong ability toidentifyissues and challenge the status quo.as well as proven problem-solving skills with a focus on innovation and continuous improvement.
• Experience in / exposure to a major business facing integrated application environment (e.g.risk, trading) and working with business facing developers

• Excellent communication and collaboration skills to work effectively within cross-functional teams.