Software Engineer III - Agentic AI, Java/Python

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading financial services firm is seeking a Software Engineer III - AI/ML Engineer to enhance its capabilities in machine learning and artificial intelligence. This role involves delivering AI/ML projects, developing production code, and maintaining high-quality algorithms within an agile framework. The ideal candidate will have strong programming knowledge in Python, experience in AI/ML solutions, and a solid understanding of agile methodologies. If you're ready to take your software engineering career to the next level, apply now!

Qualifications

• 3+ years of experience in developing production AI/ML solutions.
• Deep knowledge in machine learning and artificial intelligence.
• Strong programming knowledge of Python and Spark.

Responsibilities

• Deliver AI/ML projects using Agile methodology.
• Create high-quality production code and maintain algorithms.
• Proactively identify hidden problems and drive improvements.

Skills

Machine Learning

Artificial Intelligence

Python

Agile methodologies

Data Structures

AI/ML Solutions Development

Education

Formal training or certification in software engineering

Tools

Tensorflow

Pytorch

Keras

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 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

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies