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Job Description

Elevate your Lead Engineering skills in Full Stack/Front End development by working with cutting-edge technology and collaborating with Applied AI engineering at JPMorgan Chase. In this role, you'll coordinate the inference needs of research teams to align with business goals.

As a Lead Software Front End/Full Stack Engineer at JPMorgan Chase within Corporate Sector - AMDP Platforms, you'll be a key player in an agile team. Your responsibilities include enhancing, developing, and delivering a secure, stable, and scalable AIML Data Platform. You'll contribute technically to the architecture, design, and construction of AI/ML-related Front-End and API capabilities, working with both traditional AI/ML and Generative AI.

Job Responsibilities

1. Architect, Design and implement User and Developer Experience capabilities for our AI/ML platform, including inference, training, scheduling, orchestration, and storage.
2. Execute creative software solutions, design, develop, and troubleshoot technically with the ability to think beyond routine approaches to build solutions or analyze technical problems.
3. Develop secure, high-quality production code, review, and debug code written by others.
4. Optimize system performance by identifying and resolving inefficiencies and bottlenecks.
5. Identify opportunities to automate remediation of recurring issues to improve operational stability.
6. Develop advanced monitoring and management tools for high reliability and scalability.
7. Collaborate with product teams to deliver tailored, technology-driven solutions.
8. Drive the adoption and execution of ML Platform tools across teams.
9. Integrate Generative AI within the ML Platform using state-of-the-art techniques.
10. Add to team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, And Skills

1. Formal training or certification in software engineering with 5+ years of applied experience.
2. Hands-on experience with system design, application development, testing, and operational stability.
3. Proven experience with frameworks and libraries including React, HTML, CSS, and JavaScript.
4. Experience with REST APIs, Distributed Systems, Cloud Technologies.
5. Experience with Design Systems and pattern libraries.
6. Experience developing accessible standards and systems.
7. Advanced skills in programming languages such as Java or Spring.
8. Proficiency in automation and continuous delivery methods.
9. Understanding of the Software Development Life Cycle.
10. Knowledge of agile methodologies like CI/CD, Application Resiliency, and Security.
11. Proficiency in cloud, AI/ML, mobile, or related technical disciplines.

Preferred Qualifications, Capabilities, And Skills

1. Experience with prompt engineering and working with LLM vendors and models.
2. Knowledge of the financial services industry and IT systems.
3. Cloud certification.