Software Engineer III - Agentic AI, Java/Python

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Software Engineer III - AI/ML Engineer to design and deliver trusted, market-leading technology products in a secure, scalable manner. You will be a seasoned member of an agile team translating business requirements into robust AI/ML solutions across multiple domains.

You will contribute across the ML development lifecycle, produce production-grade code, and help improve data-driven decisions while upholding security and reliability standards.

Qualifications

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Experience as a hands-on practitioner developing production AI/ML solutions.
• Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc.
• Deep knowledge and experience in machine learning and artificial intelligence.
• Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Demonstrated understanding in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
• Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
• Familiarity in AWS Cloud services such as EMR, Sagemaker etc.,
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Responsibilities

• Deliver AI/ML projects through our ML development life cycle using Agile methodology. Translate business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
• Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets for continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Exposure to cloud technologies

Skills

Machine learning

Natural language processing

Deep learning

Python programming

Spark

Distributed computing

Agile methodologies

CI/CD

Data analysis

Tools

TensorFlow

PyTorch

Keras

MXNet

Scikit-Learn

NumPy

SciPy

pyG

LangChain

LangGraph

Auto-GPT

AWS Sagemaker

AWS EMR

Dask

Ray

Polars

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
• Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

Required qualifications, capabilities, and skills

• Formal training or certification onsoftware engineeringconcepts and 3+ years applied experience

• Experience as a hands-on practitioner developing production AI/ML solutions.
• Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc.
• Deep knowledge and experience in machine learning and artificial intelligence.
• Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
• Knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
• Demonstrated understanding in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.
• Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
• Familiarity in AWS Cloud services such as EMR, Sagemaker etc.,
• Overall knowledge of the Software Development Life Cycle

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies