Job Description
Are you a visionary language model architect? NeuralPath Systems is seeking a top-tier Senior Prompt Engineer to lead our Generative AI division in Irvine, CA. In this high-impact role, you will bridge the gap between complex human intent and machine logic, crafting the prompts that power our flagship enterprise products.
We are looking for a creative technologist who thrives on optimization and scalability. You won't just be writing text; you will be engineering the cognitive architecture of our AI agents. Join a team at the forefront of the AI revolution, offering a competitive salary package and equity opportunities for those ready to shape the future.
Why You'll Love This Role:
- Work with state-of-the-art LLMs (GPT-4, Claude, Llama 3).
- Competitive compensation: $150k - $200k base + Performance Bonus.
- Hybrid work environment in the heart of Irvine's tech hub.
- Direct impact on products used by millions.
Key Responsibilities:
- Design and implement advanced prompt engineering strategies to maximize model accuracy and reduce hallucinations.
- Create complex prompt chains and agent workflows for autonomous task completion.
- Analyze model outputs and user feedback loops to continuously refine prompt logic.
- Collaborate with data scientists and ML engineers to fine-tune models based on human-in-the-loop data.
- Document prompt libraries and establish best practices for the engineering team.
Qualifications:
- 3+ years of experience in Prompt Engineering, NLP, or Generative AI development.
- Deep understanding of Large Language Model architectures and limitations.
- Proficiency in Python and familiarity with OpenAI API, LangChain, or Hugging Face.
- Exceptional writing skills with a focus on tone, style, and precision.
- Experience in A/B testing prompt variations to drive user engagement.
Responsibilities
- Design and implement advanced prompt engineering strategies to maximize model accuracy and reduce hallucinations.
- Create complex prompt chains and agent workflows for autonomous task completion.
- Analyze model outputs and user feedback loops to continuously refine prompt logic.
- Collaborate with data scientists and ML engineers to fine-tune models based on human-in-the-loop data.
- Document prompt libraries and establish best practices for the engineering team.
Qualifications
- 3+ years of experience in Prompt Engineering, NLP, or Generative AI development.
- Deep understanding of Large Language Model architectures and limitations.
- Proficiency in Python and familiarity with OpenAI API, LangChain, or Hugging Face.
- Exceptional writing skills with a focus on tone, style, and precision.
- Experience in A/B testing prompt variations to drive user engagement.