Fullstack Engineer II - Conversational Analytic

Spotify Spotify · Consumer · Stockholm, Sweden · Platform

Fullstack Engineer II role focused on building AI-native conversational analytics experiences using LLMs to allow teams to explore and understand data intuitively. The role involves building end-to-end features, designing AI-native workflows for natural language data querying, and integrating LLMs into production systems.

What you'd actually do

  1. Build and ship end-to-end features for conversational analytics products, from backend services to intuitive frontend interfaces
  2. Design and develop AI-native workflows that allow users to query and explore data using natural language
  3. Collaborate with product managers, designers, and data teams to turn complex problems into simple, scalable solutions
  4. Contribute to system architecture decisions, ensuring performance, reliability, and scalability
  5. Integrate LLMs and other AI capabilities into production systems in a responsible and thoughtful way

Skills

Required

  • building fullstack applications using modern frameworks and technologies
  • working across backend and frontend systems
  • owning problems end-to-end
  • experience with APIs, distributed systems, and data-driven applications
  • design clean, maintainable, and scalable code
  • 3+ years of professional software engineering experience
  • collaborate effectively with cross-functional partners
  • value shared ownership

Nice to have

  • curious about AI/ML and have worked with or are excited to work with LLM-powered systems
  • care about user experience
  • strive to make complex workflows feel simple and intuitive

What the JD emphasized

  • AI-native conversational analytics experiences
  • LLM-powered interfaces
  • query and explore data using natural language
  • Integrate LLMs and other AI capabilities into production systems

Other signals

  • AI-native conversational analytics experiences
  • LLM-powered interfaces
  • query and explore data using natural language
  • Integrate LLMs and other AI capabilities into production systems