Prompt Engineer - Generative AI

We are now hiring our first Prompt Engineer to join the Product team and lead the development of GenAI-powered experiences. You'll 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. You'll 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

All About You
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

Nice-to-Have Experience

Experience with GenAI product interfaces (e.g., chatbots, content editors, agents)

Exposure to RAG pipelines, model fine-tuning, or multi-agent orchestration

Familiarity with experimentation platforms (e.g., A/B testing) and personalization frameworks

Experience contributing to open-source AI tools or building internal LLM tools for evaluation or iteration

Why Join Us

Work at the intersection of product, AI, and personalization-on a platform serving 400+ brands worldwide

Be the first prompt specialist at Dynamic Yield and shape how GenAI is implemented across the product stack

Collaborate with top-tier product managers, engineers, and designers in a highly agile, creative environment

Access Mastercard's internal GenAI communities, resources, and research network

Internal Job Title | Senior Specialist, Product Management

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.