Software Engineer II - Ux Designer

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Asset & Wealth Management

Software Engineer II - UX Designer role focused on integrating Generative AI into multi-modal interfaces (voice, text, touch) for web and mobile platforms. Requires hands-on engineering expertise in front-end development (React, Node.js) and collaboration with AI/ML engineers to build user-centric solutions.

What you'd actually do

  1. Architect, build, and implement multi-modal user experiences integrating voice, text, and touch interfaces.
  2. Develop production-ready front-end applications using modern frameworks such as React, Node.js, and related technologies.
  3. Collaborate with cross-functional teams to conceptualize, design, and deliver user-centric solutions leveraging Generative AI.
  4. Lead the exploration and adoption of cutting-edge technologies to enhance user and client interaction.
  5. Develop and implement strategies to incorporate LLMs (Large Language Models) and AI/ML capabilities into user-facing applications.

Skills

Required

  • Formal training or certification on software engineering concepts and 2+ years applied experience.
  • Proven experience building multi-modal user experiences, particularly on mobile and web platforms.
  • Experience integrating Generative AI and LLMs into user-facing applications.
  • Ability to think creatively and strategically about user and client experience engineering.
  • Excellent communication skills, with the ability to articulate technical and design concepts clearly.
  • Experience with user research methodologies and tools (including Figma).

Nice to have

  • Experience in a similar role within a tech-forward organization.
  • Strong hands-on expertise with front-end frameworks and technologies (e.g., React, Node.js, TypeScript, JavaScript, HTML/CSS).
  • Familiarity with AI/ML technologies and their application in user experience engineering.
  • Strong portfolio showcasing innovative, production-ready user experiences and applications.

What the JD emphasized

  • integrating Generative AI into multi-modal interfaces
  • hands-on engineering expertise to build, prototype, and deliver multi-modal interfaces
  • integrating Generative AI and LLMs into user-facing applications

Other signals

  • integrating Generative AI into multi-modal interfaces
  • hands-on engineering expertise to build, prototype, and deliver multi-modal interfaces
  • Develop and implement strategies to incorporate LLMs (Large Language Models) and AI/ML capabilities into user-facing applications