What are the responsibilities and job description for the Software Engineer III - Python & AI/ML position at JPMorgan Chase?
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Corporate Technology organization, 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
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Interface closely with the business, quantitative research analysts, and upstream as well as downstream technology teams across the firm
- 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
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient hands-on coding in Python
- Experience in Artificial Intelligence (AI) Model development such as Generative AI (GenAI) and large language models (LLM) Orchestration and Agentic AI libraries
- Hands-on practical experience in system design, application development, automated testing, and operational stability
- Experience communicating to business facing customers and technical team
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle and solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with Banking/Finance/Infrastructure
- Experience in designing and implementing pipelines using Retrieval-Augmented Generation (RAG)
- Experience with cloud computing platforms (AWS) & containerization technologies (Docker)