✨ About The Role
- The AI Engineer will apply Retrieval-Augmented Generation (RAG) processing to the trust data platform to create an AI agent for answering trust-related questions.
- They will design, implement, and deploy AI pipelines for AI-based product offerings.
- Continuous experimentation and quantitative evaluations will be part of the role to enhance the AI product.
- The engineer will help grow the platform to thousands of SaaS vendors, including notable companies like OpenAI and LinkedIn.
- This position is remote and requires occasional travel for collaboration.
⚡ Requirements
- The ideal candidate will have an entrepreneurial mindset and thrive in an ambiguous environment, demonstrating a "get-it-done" attitude.
- They should possess at least one year of experience in building AI-driven products, particularly in the context of LLM applications.
- A strong understanding of prompt engineering and RAG pipelines is essential for success in this role.
- The candidate should be strategic, with the ability to make informed tradeoff decisions regarding work scoping and technical debt.
- They should be comfortable working closely with founders and leadership to shape the future of AI solutions.