Principal Software Engineer - LLM, AI, AWS, RAG

About the position

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place. As a Principal Software Engineer at JPMorgan Chase within the Corporate Sector - AI/ML Data Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

Responsibilities

• Build AI enabled consumer centric and business use-case products using LLMs, RAG, Agents
• Design, develop software solutions, 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.
• Develops innovative AI/ML solutions for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS using both commercial and open source models
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
• Influences leaders and senior stakeholders across business, product, and technology teams
• Creates durable, reusable software frameworks that are leveraged across teams and functions.
• Adds to team culture of diversity, equity, inclusion, and respect.

Requirements

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Hands-on experience delivering system design, application development, testing, load testing, scaling, resiliency of AI Solutions
• Cloud native experience with AWS, Azure
• Proficient in building scalable, resilient, secure systems with AI models and distribute compute technologies.
• Ability to present and effectively communicate with Senior Leaders and Executives
• In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Nice-to-haves

• Experience with JAX, Ray, MLFlow, and/or other distributed training frameworks.
• Familiarity with NL 2SQL systems
• Experience with fine-tuning LLMs for specific usecases