Senior Lead Software Engineer -AI

JPMorgan Chase & Co.

Columbus (OH)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. is seeking an experienced software engineer to develop complex and scalable frameworks. You will be responsible for producing high-quality production code and leading cross-functional teams in technological matters.

The ideal candidate has over 7 years of experience in software engineering, with proficiency in Python and TypeScript. This position offers an opportunity to influence senior stakeholders and contribute to cutting-edge AI engineering practices.

Qualifications

  • 7+ years of applied experience in software engineering.
  • Hands-on experience in system design, application development, and operational stability.
  • Proficient in Python and TypeScript for building APIs and data pipelines.

Responsibilities

  • Develop scalable frameworks and high-quality production code.
  • Lead cross-functional teams on technological matters.
  • Influence senior stakeholders across business and technology domains.

Skills

Software engineering concepts
Programming languages (Python, TypeScript)
System design
Application development
AI workflow design
Agent frameworks

Education

Formal training or certification

Job description

Job Responsibilities
  • Develops complex and scalable frameworks using appropriate software design, including durable and reusable frameworks leveraged across teams and functions.
  • Develops secure and high-quality production code, and reviews and debug code written by others; engineers systems with clear failure modes, retry strategies, and robust operational behavior.
  • Leads cross-functional teams on technological matters within domain of expertise while acting as the function’s go-to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies,including pragmatic AI engineering practices.
  • Builds and maintains evaluation and quality mechanisms to detect regressions, measure specification/acceptance-criteria compliance, and surface behavior changes across model or dependency updates.
  • Influences leaders and senior stakeholders across business, product, and technology teams
Qualifications
  • Formal training or certification on software engineering concepts and 7+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficient in one or more programming language(s)(e.g., Python and/or TypeScript; able to build CLI tooling, API integrations, and data pipelines).
  • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines(including designing multi-step AI workflows: sequential chains, parallel fan-out, conditional routing, and human-in-the-loop checkpoints).
  • Knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g.,cloud, artificial intelligence / applied LLM systems, machine learning, mobile, etc.).
  • Experience with agent frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or homegrown) and clear opinions on their tradeoffs.
  • Demonstrated experience building systems on top of LLM APIs (endpoint integration, streaming, tool/function calling, and context management).
  • Ability to present and effectively communicate with Senior Leaders and Executives
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