Job Description
Are you passionate about the intersection of language and artificial intelligence? Synthetix AI is seeking a visionary Prompt Engineer to join our dynamic team in Saint Paul, MN. We are at the forefront of developing next-generation conversational AI, and we need a creative mind to help steer our models toward perfection.
While we are proud to be headquartered in Saint Paul, this role is Remote Friendly. We welcome candidates from across the United States to apply, provided they can collaborate effectively in a distributed, remote-first culture.
In this pivotal role, you will act as the architect of our AI’s voice. You will design, test, and refine the prompts that drive our Large Language Models (LLMs), ensuring they deliver accurate, safe, and engaging responses to users worldwide.
Responsibilities
- Model Optimization: Design complex, multi-turn prompts that maximize the performance of our LLMs across various domains and use cases.
- User Intent Analysis: Analyze user interactions and feedback to identify patterns and refine prompt structures for superior intent recognition.
- A/B Testing: Execute rigorous testing frameworks to compare different prompt strategies and iterate on the winning variations.
- Creative Writing: Craft innovative and persuasive prompts that challenge the boundaries of current AI capabilities.
- Collaboration: Work closely with data scientists, software engineers, and product managers to integrate prompt logic into our broader AI architecture.
- Documentation: Maintain detailed documentation of prompt libraries, syntax rules, and best practices for the engineering team.
Qualifications
- Experience: Proven experience working with Large Language Models (e.g., GPT-4, Claude, Llama) and advanced prompt engineering methodologies.
- Technical Skills: Solid understanding of Python and natural language processing (NLP) concepts.
- Communication: Exceptional writing and communication skills with a keen eye for tone, nuance, and clarity.
- Problem Solving: Strong analytical skills to troubleshoot model failures and optimize output quality consistently.
- Education: Bachelor’s degree in Computer Science, Linguistics, English, or a related technical field.
- Remote Work: Ability to work independently in a remote-friendly environment with high self-motivation and discipline.