About :
IP Author is a deep-tech organisation focused on transforming global Intellectual Property (IP) and Patent workflows using AI. The platform enables deep search, intelligent analysis, context-aware drafting, and automated decision support across the IP lifecycle. We work at the intersection of NLP, Generative AI, Deep Semantic Search, LLM reasoning, and workflow automation, enabling IP professionals, law firms, and enterprises to achieve accuracy, speed, and scale.
About the Role:
Are you impressed by large language models (LLMs) such as ChatGPT?
Do you harness the power of LLMs like ChatGPT in innovative ways to solve real-world problems, no matter how trivial the problems may seem?
Does the idea of harnessing the power of LLM to solve problems at scale excite the geek in you?
If so, then this role is perfect for you.
As a Prompt Engineer at IP Author, you will be at the forefront of integrating AI into real-world applications, particularly within intellectual property. This role offers a unique opportunity to shape the future of intellectual property practices. You will work on challenging projects that require innovative thinking and a hands-on approach, with ample opportunities to collaborate with experts across various domains. This is an exciting opportunity to be at the forefront of this evolving field and surf ahead of the curve. This position is ideal for someone eager to apply their skills in a practical setting and grow in a rapidly changing field.
Key Responsibilities:
– Develop and refine prompts to enhance AI model outputs, iterating based on performance feedback.
– Work closely with software and product teams to align prompt design with project goals.
– Review and improve prompt quality through analysis of relevant data.
– Document the methodologies for internal knowledge sharing.
– Consolidate and incorporate user feedback into software products by refining prompts.
Qualifications:
– Bachelor’s degree or a Master’s degree in Engineering or a related field.
Required Skills:
– Strong problem-solving skills and ability to work collaboratively.
– Basic understanding of interacting with large language models and prompt engineering.
– Basics of Python programming.
– Knowledge of common data formats (e.g., JSON, XML, CSV) and documentation styles (e.g., Markdown).
– Familiarity with basic patent processes, including drafting and prosecution, is a plus.
– Willingness to learn and adapt as the field of prompt engineering evolves.
Bonus points if the candidate has any of the following skills:
– Experience working with cross-functional teams, including software developers and domain experts.
– Exposure to patent drafting or legal processes.
– A practical understanding of quality assessment processes.