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Amazon
Prompt engineering is the art of designing and crafting effective prompts or instructions for Generative Artificial Intelligence (AI) Models. These prompts guide AI systems and instruct Large Language Models (LLMs) to deliver optimal outputs.
As a Prompt Engineer, you will be the wordsmith behind the scenes, crafting the magic that unlocks a powerful new generation of AI tools. In this ground breaking role, you will be a key player in developing and refining prompt engineering techniques, constantly exploring new ways to optimize generative AI. If you are enthusiastic about application of AI solutions to solve real world problems, ready to push the boundaries and become a pioneer in the world of AI, this is the role for you.
Key job responsibilities
- You will design prompts, guiding large language models to generate specific, accurate and exceptional responses.
- You will wield the power of words, crafting concise and creative prompts that steer AI towards the desired outcome, fine-tuning results and ensuring accuracy.
- You will work closely with Product Leads, Data engineers, Developers, and other creative minds to understand needs and translate them into effective prompts, maximizing the impact of AI solutions.
- You will be responsible to Test and assess the effectiveness of both existing and newly developed prompts.
- You will be responsible for developing and maintaining a comprehensive library of prompts, ensuring clarity and effectiveness, while fostering best practice sharing.
- You will work with cross functional teams to integrate prompt engineering models into production environments.
- You will leverage the power of prompt engineering to identify and enhance customer trust by eliminating risks related to counterfeit, infringements, etc.
A day in the life
Your day will be dynamic, collaborative and focused on driving innovation and excellence in prompt engineering. You will participate in collaborative meetings with Product and Program Managers and developers across cross function teams to discuss design requirements, brainstorm on ideas and share insights on design approach. You will spend time analyzing data related to prompt effectiveness and model performance. You will create playbooks to document findings, prepare reports and share updates with various stakeholders. You will troubleshoot issues, address real time challenges and implement scalable solutions.
About the team
The Trustworthy Shopping Experience (TSE) team strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. We do this by (1) eliminating catalog defects, (2) ensuring listings are compliant with Amazon’s selling policies, (3) helping customers find selling partners that have a good ordering and fulfillment record, (4) ensuring customers receive authentic products in the condition they expect, and (5) in the rare chance the order experience does not meet customer expectations, protecting them by making things right with our A-to-z Guarantee. Our selling partners are also our customers and we work hard to educate and support them to facilitate a positive and friction-free selling partner experience. We design and implement policies, tools and technology innovations to protect the buying experience on Amazon while minimizing friction for sellers.
We are looking for a Prompt Engineer with a passion for Generative AI, Innovation with analytical and communication skills. You will enjoy working with cutting edge technology, enabling you to leverage your insights to drive automation and develop tools for our Operations teams., thereby, enhancing customer e experience. You will collaborate with Software Engineering, Data Science, Product Management, Program Management and Operations Teams to build a deeper understanding of Operational performance and drive improvements which directly influence Amazon’s bottom-line.
- 3+ years of program or project management experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements
- Knowledge of and proficiency in the use of Python scripting language
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