Job Description
Join Nexus AI Solutions as a Senior Prompt Engineer and lead the next wave of AI innovation. We're seeking a visionary expert to architect cutting-edge language model interactions that redefine human-AI collaboration. In this pivotal role, you'll design and optimize prompts for enterprise-scale AI systems, directly shaping how businesses leverage generative AI. Our dynamic San Francisco headquarters offers unparalleled resources, including access to state-of-the-art GPU clusters and a collaborative culture where your ideas will transform industries.
As a cornerstone of our AI Products team, you'll collaborate with world-class researchers and engineers to develop prompt frameworks that deliver unprecedented accuracy and creativity. This is your chance to pioneer solutions that will impact millions while accelerating your career in one of the world's most vibrant tech ecosystems.
Responsibilities
- Design, test, and optimize enterprise-grade prompts for GPT-4, Claude, and proprietary language models
- Develop reusable prompt libraries with version control and performance tracking
- Collaborate with ML engineers to integrate prompts into production AI pipelines
- Conduct A/B testing on prompt variations to maximize model output quality
- Document prompt engineering best practices and create internal training materials
- Stay current with LLM advancements and adapt strategies to new model capabilities
- Mentor junior engineers on prompt optimization techniques
Qualifications
- 3+ years experience in prompt engineering or NLP-focused AI development
- Proven track record of shipping production-ready AI applications
- Expertise in Python and API integration (OpenAI, Anthropic, Hugging Face)
- Strong understanding of transformer architectures and attention mechanisms
- Experience with prompt optimization frameworks (LangChain, LlamaIndex)
- Portfolio demonstrating complex prompt engineering projects
- Ability to translate business requirements into technical prompt strategies
- Excellent communication skills for cross-functional collaboration