As a Software Engineer II at JPMorgan Chase within the Infrastructure Platforms International, you are part of an agile team that enhances, designs, and delivers the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. You execute software solutions through design, development, and technical troubleshooting of multiple components within a technical product, application, or system. If you are passionate about developing innovative applications using Python and LLMs, we encourage you to apply and join our dynamic team!

Job Responsibilities:

Develop and maintain Python-based web applications utilizing Large Language Models (LLMs).Perform data vectorization and fine-tuning of LLMs to enhance performance and accuracy.Orchestrate LLM workflows using frameworks such as Langchain, Langraph, or LlamaIndex.Build and deploy Python microservices for scalable application architecture.Integrate and connect to diverse data sources, including unstructured databases like PostgreSQL.Implement LLM-based data vectorization techniques and ensure efficient storage in PostgreSQL.Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.

Required Qualifications, Capabilities, and Skills:

Formal training or certification on software engineering concepts and 2+ years applied experience   

Proficiency in Python development with a strong understanding of web application frameworks.Experience with Large Language Models (LLMs) and their fine-tuning.Familiarity with data vectorization techniques and their applications.Experience with orchestrating LLM workflows using frameworks like Langchain, LLamaIndex, or Langraph.Strong knowledge of building and deploying Python microservices.Proficient in connecting and querying PostgreSQL.Excellent problem-solving skills and ability to work independently and collaboratively.
 

Preferred Qualifications, Capabilities, and Skills:

Machine Learning with Python (Clustering, Classification).Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying applications.Familiarity with containerization technologies (e.g., Docker, Kubernetes).Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.