LLM Suite Engineering Associate Software Engineer II

Join JPMorganChase a global leader in financial services as we revolutionize our operations with artificial intelligence and machine learning.

As a Software Engineer II at JPMorgan Chase within the AIML and Data Platforms (AMDP) team you will be addressing significant challenges in the financial services sector and creating substantial impact. You will have the opportunity to work alongside industry leaders and contribute to pioneering AI/ML capabilities that solidify JPMCs industry leadership. Your crucial role in the LLM Suite within the AMDP team will involve transforming early-stage code into production-ready solutions and developing innovative AI/ML solutions using public cloud architecture. You will also collaborate with cross-functional teams to integrate generative AI into various applications and products.

Job Responsibilities:

• Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform using Azure AWS and AI Agentic frameworks.
• Integrate with AWS Cloud Services for compute storage databases and security as well as the Azure ecosystem.
• Create solutions or tools to provision and monitor infrastructure for LLM and agentic systems.
• Utilize operational skills to provide impactful recommendations for product process or policy improvements.
• Collaborate with the Product team to design build and deliver capabilities in agile sprints.
• Work with cross-functional teams including data scientists software engineers and designers.
• Develop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.

Required Qualifications Capabilities and Skills:

• Formal training or certification on software engineering concepts and proficient applied experience
• Strong hands-on experience with at least one programming language (Python/Java/Rust)
• Experience in developing microservices using Python with FastAPI.
• Commercial experience in both backend and frontend engineering
• Hands-on experience with AWS Cloud-based applications development including EC2 ECS EKS Lambda SQS SNS RDS Aurora MySQL & Postgres DynamoDB EMR and Kinesis.
• Strong engineering background in machine learning deep learning and neural networks.
• Experience with containerized stack using Kubernetes or ECS for development deployment and configuration.
• Experience with Single Sign-On/OIDC integration and a deep understanding of OAuth JWT/JWE/JWS.
• Solid understanding of backend performance optimization and debugging.
• Knowledge of AWS SageMaker and data analytics tools.
• Proficiency in frameworks TensorFlow PyTorch or similar.

Preferred Qualifications Capabilities and Skills:

• Familiarity with LangChain Langgraph or any Agentic Frameworks is a strong plus.
• Python engineering experience
• React