Job Description
Join NexusAI Solutions as a Senior Prompt Engineer and revolutionize how humans interact with AI systems. We're seeking a creative technologist to design, test, and optimize advanced prompt strategies that power our next-generation AI applications. This remote-friendly role allows you to work from anywhere while collaborating with a global team of AI researchers and engineers. You'll shape the future of conversational AI by developing frameworks that enhance model accuracy, bias mitigation, and user experience.
Why NexusAI? We're a forward-thinking AI innovator with headquarters in Henderson's thriving tech corridor. Enjoy competitive compensation, flexible schedules, and the opportunity to work on projects that impact millions of users worldwide. Our culture champions experimentation, continuous learning, and inclusive innovation.
Responsibilities
- Design, implement, and iterate advanced prompt engineering strategies for large language models
- Collaborate with cross-functional teams to define AI system requirements and user interaction flows
- Develop evaluation frameworks to measure prompt effectiveness and model performance
- Create documentation and best practices for prompt engineering methodologies
- Research emerging AI techniques to maintain competitive edge in prompt optimization
- Conduct A/B testing of prompt variations to maximize output quality and relevance
- Train stakeholders on prompt engineering principles and implementation techniques
Qualifications
- 3+ years of experience in prompt engineering or NLP-focused AI development
- Expertise in GPT, Claude, or similar large language model architectures
- Strong programming skills in Python with experience in ML frameworks (PyTorch/TensorFlow)
- Proven ability to translate complex technical concepts into user-friendly prompts
- Familiarity with AI ethics, bias detection, and mitigation strategies
- Portfolio demonstrating successful prompt engineering projects with measurable outcomes
- Excellent written and verbal communication skills for cross-functional collaboration