Senior Full-stack Engineer, Enterprise Genai

Adobe Adobe · Enterprise · San Jose, CA +2

Senior Full-Stack Engineer to build AI-first products, integrating AI systems into scalable experiences. Combines UI expertise with full-stack skills, working with AI APIs, prompt engineering, and orchestration layers. Collaborates with AI/ML specialists to prototype and launch features.

What you'd actually do

  1. Deliver best-in-class, responsive, and scalable UI/UX solutions for mass audiences.
  2. Architect and implement sophisticated front-end solutions using JavaScript and modern frameworks.
  3. Extend beyond the UI: build and maintain microservices that integrate AI features into end-to-end workflows.
  4. Work directly with AI APIs, prompt engineering techniques, and orchestration layers to bring intelligence into Adobe’s products.
  5. Team up with Product Managers, Engineers who specialize in AI/ML, and Designers to efficiently prototype, iterate, and launch features guided by artificial intelligence.

Skills

Required

  • 7+ years of professional experience building highly performant web applications.
  • Expert proficiency in JavaScript, React, Node.js, and at least one other programming language.
  • Strong UI/UX sensibility for building polished user interfaces.
  • Solid experience designing, integrating, and maintaining REST APIs
  • Experience with cloud-native development, microservices, and CI/CD pipelines.
  • Strong foundation in software engineering principles and modern tooling.
  • Excellent communication skills and ability to collaborate across design, product, and engineering.

Nice to have

  • Experience developing authentication and secure access features
  • Experience with data pipelines.
  • Hands-on experience working with AI/LLM APIs (e.g., OpenAI, Anthropic, Azure AI) — including prompt engineering and system integration.
  • Familiarity with AI/ML concepts (fine-tuning, embeddings, retrieval-augmented generation).
  • Experience using data visualization, dashboards, and personalization systems.

What the JD emphasized

  • integrating AI features
  • AI APIs
  • prompt engineering
  • orchestration layers
  • AI/ML
  • artificial intelligence

Other signals

  • integrating AI systems
  • AI-first products
  • integrating with AI driven services