Software Engineer III - Python/ AI

JPMorganChase•Jersey City, NJ

About The Position

As a Software Engineer III - Python/AI at JPMorganChase within the Commercial and Investment Bank, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable way. You will deliver critical technology solutions across multiple technical areas and business functions in support of the firm’s business objectives. The role combines Python backend engineering, React/TypeScript dashboards, data pipelines, and responsible use of enterprise-approved AI tools and large language models. It includes guiding teams in using LLMs and AI-assisted development safely and effectively, particularly in regulated environments where engineering work must be reproducible, traceable, auditable, secure, and reliable.

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Strong Python skills, including familiarity with agentic development practices.
Experience with database design and data modeling on modern data platforms such as Databricks or Snowflake.
Hands-on experience using approved AI-assisted development tools to design and deliver end-to-end applications, with strong validation practices for correctness, performance, and security.
Experience developing, debugging, and maintaining code in a large enterprise environment using one or more modern programming languages and database querying languages.
Strong understanding of the SDLC and agile delivery practices, including CI/CD, application resiliency, and security controls.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
Experience coaching engineers on compliant AI adoption and guiding peers on safe and effective usage within team practices.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, with the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.

Nice To Haves

Familiarity with modern front-end technologies.
Experience in Risk and PnL in Markets.
Exposure to public cloud, preferably AWS.
Knowledge of Financial Markets and Products, including Fixed Income and Derivatives, and Treasury concepts.

Responsibilities

Build and maintain UI dashboards using React/TypeScript and backend services in the Python stack.
Design and deliver data pipelines and ETL on modern data platforms such as Databricks and Snowflake.
Perform software design, development, testing, and technical troubleshooting across the SDLC.
Ensure LLMs are used as controlled, well-understood components of the engineering lifecycle, using enterprise-approved models.
Lead structured requirements analysis using LLM-assisted workflows to turn business and regulatory needs into clear technical specifications.
Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts.
Ensure prompt strategies support determinism, reproducibility, traceability, and auditability in regulated environments.
Ensure LLM-driven systems meet enterprise reliability, resilience, and security expectations.
Coach teams on safe, compliant LLM and agent usage by documenting strengths, limitations, and risk profiles for different classes of engineering work.
Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity across complex deliverables, validating outputs through peer review, automated testing, and secure coding standards.
Share learnings and reusable patterns to improve broader team effectiveness.
Apply knowledge of SDLC toolchains, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.