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 JPMorgan Chase within the Asset & Wealth Management, 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 AI/ML/LLM software solutions, design, development, and technical troubleshooting.
• 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
• 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.
• Experience software engineering in AI/ML/LLM, application, data and infrastructure architecture disciplines.
• Experience working with Large Language Models (LLM)/GenAI technology like OpenAI API, (GPT models), HuggingFace models etc. having solid understanding of Transformers architecture.
• Experience in Natural Language Processing and NLP tools and libraries like Spacy
• Experience in building, evaluating and deploying Machine learning Models into Production
• Advanced proficiency in developmental toolsets especially in relation to Python
• Good Experience in Java development, cloud deployments and in continuous delivery and DevOps tooling

Preferred qualifications, capabilities, and skills

• Experience in web application development and frameworks
• Experience in AI/ML projects integration