Job Description
Urgently Hiring: Prompt Engineer in Saint Paul, MN
Are you ready to shape the future of Artificial Intelligence? NeuralStream Innovations is seeking a visionary Prompt Engineer to join our dynamic team in Saint Paul, Minnesota. In this high-impact role, you will be at the forefront of developing cutting-edge language models that drive our clients' success.
Why Join Us?
- Work with state-of-the-art Large Language Models (LLMs).
- Collaborate with world-class AI researchers and engineers.
- Competitive salary and comprehensive benefits package.
The Role
We are looking for a creative problem solver who understands the nuances of human language and machine learning. As our Prompt Engineer, you will bridge the gap between technical capabilities and real-world application, ensuring our AI solutions are safe, effective, and user-centric.
Responsibilities
- Model Optimization: Design, develop, and refine complex prompts to maximize the performance of Large Language Models (LLMs) and generative AI tools.
- Iterative Improvement: Continuously test, analyze, and iterate on prompt structures to enhance output quality, accuracy, and coherence.
- Technical Collaboration: Partner with software engineers and data scientists to integrate prompt strategies into broader AI product architectures.
- Best Practices: Establish and document prompt engineering standards, libraries, and guidelines to ensure scalability across projects.
- Adversarial Testing: Evaluate models for bias, safety, and hallucinations to ensure robust and responsible AI deployment.
- Client Communication: Translate complex technical requirements into clear, actionable instructions for internal teams and external stakeholders.
Qualifications
- Experience: 2+ years of professional experience in Prompt Engineering, Natural Language Processing (NLP), or a related field.
- Technical Skills: Proficiency in Python and familiarity with popular AI frameworks (e.g., Hugging Face, LangChain) and APIs (e.g., OpenAI, Anthropic).
- Education: Bachelor’s degree in Computer Science, Linguistics, Cognitive Science, or a related technical field (Master’s preferred).
- Communication: Excellent written and verbal communication skills with the ability to articulate complex concepts to non-technical audiences.
- Creativity: Strong creative thinking skills with a keen eye for detail and user experience.
- Tools: Experience using version control systems (Git) and agile development methodologies.