Job Description
Join Nexus AI Labs as a Senior Prompt Engineer and revolutionize how humans interact with artificial intelligence. We're seeking a creative technologist to design, test, and optimize advanced prompt systems for our cutting-edge AI platforms. You'll collaborate with machine learning researchers and product teams to develop intuitive conversational interfaces that power our next-generation solutions. Enjoy a state-of-the-art lab environment with all necessary AI equipment provided, including dedicated GPU workstations and proprietary training datasets.
This role offers the unique opportunity to shape the future of human-AI interaction while working alongside industry pioneers. We provide comprehensive equipment including high-performance computing resources, licensed AI model access, and a collaborative innovation lab where your prompt engineering expertise will directly impact product development.
Responsibilities
- Design, implement, and iterate advanced prompt architectures for production AI systems
- Conduct rigorous A/B testing and performance analysis of prompt variations
- Develop prompt engineering frameworks for multimodal AI applications
- Collaborate with ML teams to fine-tune model behavior through strategic prompting
- Create documentation and best practices for prompt optimization
- Lead workshops on prompt engineering techniques for cross-functional teams
- Monitor and maintain prompt system performance in production environments
Qualifications
- 3+ years of experience in prompt engineering or NLP system development
- Expertise with LLMs (GPT-4, Claude, Llama) and fine-tuning methodologies
- Strong programming skills in Python and prompt orchestration frameworks
- Portfolio demonstrating successful prompt optimization projects
- Experience with AI evaluation metrics and quantitative analysis
- Ability to translate complex technical concepts for non-technical stakeholders
- Proven track record of shipping production-ready AI solutions
- Master's degree in Computer Science, NLP, or related field preferred