We are now hiring our first Prompt Engineer to join the Product team and lead the development of GenAI-powered experiences. Youll work across multiple product lines to design and implement production-grade prompt architectures, embed AI agents into the user journey, and scale experimentation with cutting-edge LLM tools.
Product Team Member Prompt Engineer
This role blends hands-on AI development with product integration strategy. Youll collaborate with product managers and engineers to design, evaluate, and iterate on generative AI solutions including multi-step prompt chains, agent workflows, and LLM selection frameworks. Your work will shape how personalization evolves across the Dynamic Yield platform.
All About the Role
Design and refine prompt architectures (e.g., few-shot, chain-of-thought, tool use) that drive our LLM-powered features
Select and evaluate models, frameworks, and orchestration tools (e.g., OpenAI, Claude, LangChain, RAG)
Collaborate with engineers to implement scalable agent-based workflows and integrate GenAI into the product
Partner with Product Managers to define user-facing use cases and influence product direction with AI capabilities
Develop internal tooling and evaluation frameworks to test prompt quality, model behavior, and UX alignment
Act as a thought leader on prompt best practices, model safety, and responsible AI design across product squads
Requirements: Must-Have Qualifications
Hands-on experience with LLM-based product development, including prompt design, tuning, or evaluation
Proven ability to design and iterate on prompts for models like GPT-4, Claude, or LLaMA, including few-shot and CoT techniques
Proficiency with Python and prompt-engineering libraries or platforms (e.g., LangChain, LlamaIndex, vector DBs)
Strong understanding of NLP, ML, or data science fundamentals especially around generation, embeddings, and evaluation
Comfortable working closely with engineers and PMs to bring AI features to production
Excellent communication skills, with the ability to explain complex model behavior to technical and non-technical stakeholders
This position is open to all candidates.