Bring your Full Stack/ Front End Software Engineering  skills to the next level where you will work with state-of-the-art technology and  will collaborate closely with Applied AI engineering. In this role you will coordinate the inference needs of JPMorgan Chase’s research teams, ensuring alignment with business goals.

As a Front End / Full Stack Software Engineer III - AI/ML Technology at JPMorgan Chase within the Corporate Sector, specifically the AIML Technology division, you will play a crucial role in an agile team. Your responsibilities will include enhancing, developing, and delivering a company-wide AI/ML/Data Platform in a secure, stable, and scalable manner. As a technical contributor, your duties will encompass the architecture, design, and construction of AI/ML related Front-End and API capabilities. You will have the opportunity to work with both traditional AI/ML and Generative AI.

Job responsibilities

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Develops advanced monitoring and management tools for high reliability and scalability.  Optimizes system performance by identifying and resolving inefficiencies and bottlenecks.  Collaborates with product teams to deliver tailored, technology-driven solutions.  Integrates Generative AI within the ML Platform using state-of-the-art techniques.  Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Proven experience with modern Frameworks and Libraries such as React, HTML, CSS, and JavaScript Proven experience with use of Design Systems and building pattern libraries. Proven experience with developing for accessible standards and system for accessible design. Advanced in one or more programming language(s) Java, Spring Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills 

Experience with prompt engineering and interacting with various LLM vendors and models.