Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co.•Plano, TX

1d•Onsite

About The Position

JPMorgan Chase is seeking Software Engineers to design and develop generative AI solutions, including retrieval-augmented generation and model-driven code. The role involves implementing machine learning applications focused on deep learning, natural language processing, and large language models. Responsibilities include collaborating with cross-functional teams to integrate AI capabilities, enhancing system performance through research and experimentation, and designing/implementing scalable software applications and APIs. The engineer will also build dynamic user interfaces, architect resilient software systems, automate system administration, and implement secure network and identity management. Additionally, the role focuses on enabling multi-tenant SaaS applications with scalability and security, designing event-driven architectures, deploying and managing cloud infrastructure using infrastructure as code, developing serverless solutions, and implementing CI/CD pipelines. Data warehousing, data lakehouse, and data mesh architectures are also key areas, along with data wrangling, visualization, and analysis.

Requirements

Bachelor's degree in Electronic Engineering, Computer Science, Computer Information Systems, Data Engineering, or related field of study.
3 years of experience in the job offered or as Software Engineer, IT Consultant, or related occupation.
Designing and developing generative AI solutions, including RAG, AI agents, and MCP using deep learning, NLP, and large language models.
Implementing AI-driven applications.
Integrating AI solutions into existing systems.
Developing and deploying AI agents for automation and decision-making.
Designing and implementing data warehousing solutions using Snowflake.
Developing data lakehouse architectures using Databricks.
Implementing data mesh architectures using Starburst.
Visualizing and analyzing data for AI insights using Tableau.
Preparing and transforming data for AI applications using Alteryx.
Managing cloud infrastructure for AI workloads using Terraform.
Designing AI solutions on AWS, including EC2, S3, Lambda, and RDS.
Implementing CI/CD pipelines for AI model deployment.
Developing software applications using Python, Flask, and FastAPI.
Building user interfaces for AI applications using ReactJS.
Automating system administration tasks using shell scripting.
Designing secure network and identity management solutions for AI systems.
Architecting and designing AI software systems.
Implementing event-driven architectures for AI applications.
Evaluating and enabling SaaS applications with AI capabilities.
Developing multi-tenancy, scalability, and security in AI solutions.

Responsibilities

Design and develop generative AI solutions, including retrieval-augmented generation and model-driven code.
Implement machine learning applications focused on deep learning, natural language processing, and large language models.
Collaborate with cross-functional teams to integrate AI capabilities and enhance system performance through continuous research and experimentation.
Design and implement scalable software applications and APIs.
Build dynamic user interfaces using component-based architecture and state management.
Architect resilient software systems and automate system administration and server configuration.
Implement secure network and identity management, including authentication, authorization, and access control.
Enable multi-tenant SaaS applications with scalability and security.
Design event-driven architectures.
Deploy and manage cloud infrastructure using infrastructure as code.
Develop serverless solutions.
Implement CI/CD pipelines for automated build, test, and deployment.
Design and implement data warehousing solutions, including data modeling, ETL, and query optimization.
Manage data lakehouse and data mesh architectures to support analytics and decentralized data ownership.
Integrate, clean, transform, and prepare data from diverse sources using data wrangling techniques.
Perform data visualization and analysis using interactive dashboards and reports.