GenAI Engineer - Product Marketing & Adoption

Posted: 2026-07-07

- Leverage Google Cloud’s Vertex AI products to maintain and enhance our “Copilot” agent feature.

- Enhance the capabilities of the agent by integrating with additional Impact or external APIs (via function calling / actions).

- Enhance the agent’s analytics capabilities with new integrations exposing additional data sets.

- Enhance the knowledge of the agent by adding more context to its search index.

- Create tools and processes for monitoring, and then monitor the agent’s answers’ quality and correctness.

- Leverage reinforcement learning (RLHF), adapter tuning or other methods to further tune the model beyond leveraging prompts, examples, and context.

- Evaluate using new LLMs with the agent as they become available.

- Work with the squad’s full stack engineer to expose new features in the user interface, and deploy the agent or point content generation capabilities throughout our apps.

- Work closely with product managers to identify new features and enhancements, estimate level of effort, prototype, implement and deploy.

- Interface with our Google solutions team to clarify gaps in documentation, report bugs or unexpected behavior, submit feature requests, or get help when evaluating a product or feature.

- Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.

What You'll Have

- Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

- Technical Expertise:

- Understanding of LLM/GPT concepts

- Proficiency in prompt engineering.

- Proficiency with Python

- Experience with data visualization tools (e.g., Tableau, Power BI, Looker) and/or sql query writing.

- Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn is a plus.