DescriptionBring your Software Engineer expertise to the next level by joining the Engineer's Platform and Integrate Experience (EPiX) team where you'll be a part of the team which aims to amplify our engineers' productivity and efficiency tenfold, making JPMC the most appealing destination for engineers.
As a Software Engineer III at JPMorgan Chase within Corporate Engineers Platform and Integrate experience (EPiX) team, where your role involves enhancing engineers' productivity and efficiency, collaborating with various business and engineering teams to carry out long-term projects that require substantial generative AI development. In thi role you will be responsible for the design, development, deployment, delivery, and maintenance of AI products. You will work with other engineers and research scientists to build and maintain the software and infrastructure necessary for the team to develop and deliver innovative AI products.
Job responsibilities
- Collaborates with data scientists and research/machine learning engineers to deliver products to production.
- Designs and builds 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 3+ 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)
