Lead Software Engineer, Full Stack/Generative AI/LLM

JPMorgan Chase

Quick summary

Work type: On-site
Location: Plano, TX
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $201k

$174k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $183,175–$219,062.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

Most-posted roles

View all roles at JPMorgan Chase

At a glance

TL;DR · Lead Software Engineer, Full Stack/Generative AI/LLM

Role Posting Log in to save

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking division, you will lead an agile team focused on developing secure, stable, and scalable technology products. Your daily responsibilities include hands-on work with Large Language Models (LLMs) and generative AI, leveraging AI/ML frameworks such as TensorFlow and PyTorch, and ensuring robust performance through chaos testing and A/B testing methodologies. You will also manage microservices architecture, RESTful APIs, and database technologies while utilizing cloud platforms like AWS and Kubernetes for deployment. This role demands expertise in Java, Python, and C#, along with proficiency in development tools such as JUnit and Jenkins, to deliver innovative solutions that address complex business challenges at a large scale.

Skills

Java Python TensorFlow PyTorch scikit-learn HuggingFace AWS GCP Azure Docker Kubernetes JMeter Blazemeter JUnit Cucumber Groovy Postman RESTAssured Maven Jenkins intelliJ

What you'll do

Develop and maintain software using advanced programming languages like Java and Python.
Integrate Large Language Models (LLMs) and generative AI into projects.
Implement microservices architecture and RESTful APIs for scalable applications.
Conduct performance testing with tools such as JMeter and Blazemeter.
Create and execute chaos test scripts to ensure system stability.
Utilize cloud platforms like AWS and GCP for deployment and management.

What we're looking for

Advanced proficiency in Java, Python, C#, and other programming languages.
Experience with Large Language Models (LLMs) and AI/ML frameworks like TensorFlow and PyTorch.
Expertise in distributed systems, cloud platforms (AWS, GCP, Azure), and microservices.
Familiarity with containerization tools (Docker, Kubernetes) and performance testing.
Cloud certification and practical experience in cloud-native development.

Save