Gemini App Partner Engineer, Gup

Google Google · Big Tech · Sunnyvale, CA +1

This role focuses on enabling partners to integrate their applications with the Gemini App, which involves understanding partner goals, providing technical guidance, and contributing to the evolution of Gemini through LLM-based solutions. Responsibilities include driving partner integrations, developing tools for data preparation and quality using prompt engineering and evals, influencing product strategy, and advocating for user/partner success. The role requires experience with coding, web technologies, technical troubleshooting, and ideally with AI platforms and AI agents.

What you'd actually do

  1. Drive new partner integrations within Gemini App, ensuring a frictionless partner experience and grow user value.
  2. Contribute to the evolution of Gemini through LLM-based solutions/processes (e.g., tools/colabs) for partner schema ingestion, data preparation and quality iterations (prompt engineering, running evals, loss bucket analysis, SFT data points).
  3. Influence product strategy and work with cross-functional teams to bring partner-facing features to market.
  4. Advocate for seamless partner and user experience and advocate for user and partner success with engineering and product teams.
  5. Stay up-to-date on industry trends and latest machine learning research, tools and techniques.

Skills

Required

  • coding with one or more programming languages (e.g., Java, C/C++, Python)
  • web technologies (e.g., HTML, CSS, JavaScript, or HTTP)
  • technical troubleshooting
  • managing internal/external partners or customers

Nice to have

  • software development
  • architectural components
  • system design
  • database technologies (e.g., SQL, NoSQL)
  • cloud technologies
  • building solutions on AI platforms such as Agent Development Kit (ADK)
  • developing using AI editors such as Antigravity
  • building "skills" and "AI agents"
  • AI protocols such as MCP, UCP

What the JD emphasized

  • LLM-based solutions
  • partner schema ingestion
  • data preparation
  • quality iterations
  • prompt engineering
  • running evals
  • loss bucket analysis
  • SFT data points
  • AI platforms
  • Agent Development Kit (ADK)
  • AI agents

Other signals

  • LLM-based solutions
  • partner integrations
  • AI platforms
  • AI agents