We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

 

As a Software Engineer III at JPMorgan Chase within Corporate Sector - AIML Data Platforms LLM Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will play a crucial role in the LLM Suite within the AMDP team, tackling some of the most pressing challenges in the financial services sector to create meaningful impact for the organization. Your responsibilities will include transforming early-stage code into production-ready solutions.

 

Job responsibilities 

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsProduces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systemsDevelop innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS, and AI Agentic frameworksDevelop and implement state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service.Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architectureContributes to software engineering communities of practice and events that explore new and emerging technologiesAdds to team culture of diversity, inclusion, and respect

 

Required qualifications, capabilities and skills

Formal training or certification on software engineering concepts and 3+ years applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityProficient in coding in one or more languages including Python (fastAPI), Microservices, API, LLM, and AWS (EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis)Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesOverall knowledge of the Software Development Life CycleSolid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Adds to team culture of diversity, inclusion, and respect
 

Preferred qualifications, capabilities and skills 

Familiarity with modern front-end technologiesExposure to cloud technologiesBackground in machine learning, deep learning, and neural networks