Job Description
Join NeuraTech Innovations as a Senior Prompt Engineer and revolutionize how humans interact with AI systems. We're seeking a creative technologist to design, test, and optimize conversational AI experiences that power our next-generation customer solutions. This remote-friendly role offers the flexibility to work from anywhere while collaborating with our dynamic team in the Twin Cities.
As a key member of our AI Excellence team, you'll shape the future of human-AI interaction by crafting precise, effective prompts that unlock the full potential of large language models. You'll collaborate with product managers, data scientists, and UX designers to develop cutting-edge AI applications that deliver exceptional user experiences.
Responsibilities
- Design and develop advanced prompt engineering strategies for production AI systems
- Conduct A/B testing and iterative optimization of prompts to improve model performance
- Collaborate with cross-functional teams to integrate prompt engineering into product development lifecycles
- Document prompt architectures and create best practice guidelines for engineering teams
- Research and implement emerging prompt engineering techniques and tools
- Monitor AI system performance and refine prompts based on user feedback and analytics
- Present findings and recommendations to technical and non-technical stakeholders
Qualifications
- Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field
- 3+ years of experience in prompt engineering or natural language processing
- Proven track record of optimizing LLM outputs for production applications
- Strong understanding of transformer architectures and language model behaviors
- Experience with prompt frameworks like ReAct, Chain-of-Thought, or Tree of Thoughts
- Excellent written communication skills with ability to translate complex concepts
- Familiarity with AI platforms (OpenAI, Anthropic, Hugging Face) and evaluation metrics
- Ability to work independently in a remote environment with minimal supervision