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Software Engineer III - Applied AI/ML Engineer

JPMorgan Chase
Jersey City, USA
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build agentic solutions or breakdown technical problems
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
  • Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
  • Formal training or certification on software engineering concepts and 3+ years applied experience in applied AI/ML engineering
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
  • Strong programming skills in Python, expertise in using AI code assist tools such as Claude Code, OpenAI and with experience in developing and maintaining production-level code
  • Proficiency in working with large datasets and data science
  • Solid understanding of AI/ML algorithms and techniques, AI agent usage, and overall natural language processing.
  • Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Overall knowledge of the Software Development Life Cycle
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

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