GenAI Engineer - Product Marketing & Adoption

com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before.

We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you! com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more.

The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. com . com: We are seeking a talented Gen AI engineer with a passion for creating and maintaining AI agents and generative features in our applications.

You will focus on creating, testing and maintaining prompts; monitoring answer quality; adding content to search indexes to facilitate retrieval augmented generation (RAG); and integrating with new APIs to enhance the agent’s capabilities. Your work will enable our client users to work more efficiently and promote more relationships being created and becoming successful and better performing in our partnerships marketplace.

What You'Ll Do

: 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. , 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.