As a Lead Software Engineer at JPMorgan Chase, within Corporate Sector Engineer's Platform & Integrate Experience (EPiX) team, you'll be a part of a team which aims to amplify our engineers' productivity and efficiency tenfold, making JPMC the most appealing destination for engineers. 

You will partner closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant generative AI development to support JPMorgan Chase businesses as they grow. Your experience in software engineering will help us with the design, development, deployment, delivery, and maintenance of AI products to our clients. In this role, you will be working with other engineers & research scientists in building & maintaining software and infrastructure that supports our team in developing and delivering disruptive AI products that serve our customers in production.

Job responsibilities

• Leads a team of engineers in developing and implementing generative models for various applications.
• Collaborates with data scientists and research/machine learning engineers to deliver products to production.
• Designs and build custom workflows leveraging Language Models (LLMs).
• Builds and maintains scalable infrastructure as code in the cloud (private & public).
• Builds frontend interfaces leveraging modern web stacks.
• Integrates data using Langchain and vector database storage.
• Stores vector data in vector database storage

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5 years applied experience.
• Ability to write robust code in Python, Java, or another relevant language.
• Experience with web development frameworks ex. React, Vue.js or similar.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Passion for building great user experiences for the clients, attention to detail.
• Experience in cloud infrastructure such as AWS.
• Hands-on experience with software design, problem solving and debugging skills.
• Strong interpersonal skills; able to work independently as well as in a team.
• Experience in containerization and infrastructure as code: Docker/Kubernetes/Terraform
• Experience with distributed systems.
• Proficiency in data embeddings using Langchain and vector database storage.

Preferred qualifications, capabilities, and skills

• Experience in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints.
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
• Experience working with Distributed computing frameworks.
• Familiarity with agile development methodologies and project management tools (e.g JIRA, Confluence)