Software Engineer III, Python/Gen AI

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer III at JPMorgan Chase within the AIML Data Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will be an integral part of AI agentic systems building process of the firm, working on latest technology stack.

Job responsibilities

Work with business stakeholders, product teams, and other technology teams to finalize software solutions in-line with the strategic end-state.

Architect, design, and develop multiple AI products for core AI and Machine Learning (ML) team leveraging generative AI, natural language processing and other AI-ML technologies.

Work with other software developers and data scientists, and collaborate with product and developers on the team.

Determine timelines for different product features and communicate them to business stakeholders.

Perform data modeling for different AI software solutions, decide data persistence strategies, and create data pipelines.

Establish coding standards for committing codes into different repositories and perform code reviews.

Maintain responsibility for product deployments on public and private clouds, and ensure server costs are properly managed through regular monitoring and tuning.

Perform test-driven back-end development, as well as test-driven front-end development.

Contribute to test-driven AI and ML model development and improvement.

Required qualifications, capabilities, and skills

Formal training or certification on Software Engineering concepts and 3+ years applied experience

Hands-on practical experience delivering system design, application development, testing, and operational stability and Agile SDLC.

Advanced in following languages Python, Java, Javascript

Proficient in following technologies, FastAPI, Spring, Agent Building tools and LLMs

Proficiency in automation and continuous delivery methods

Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

In-depth knowledge of the financial services industry and their IT systems

Experience in microservice design pattern, data structures and algorithms

Experience with cloud services such as AWS, Terraform.

Experience working in global setup and have ability to interact with clients.

Preferred qualifications, capabilities, and skills

Exposure to python libraries such as pandas, scipy and numpy

Exposure to python concurrency through python multiprocessing would be advantageous.

Exposure to grid computing concepts would be advantageous.

Knowledge of the financial services industry and their IT systems