Job Description
Join the Frontier of Artificial Intelligence
Are you passionate about shaping the future of human-machine interaction? Nexus AI Solutions is seeking a visionary Prompt Engineer to join our elite team in San Jose, CA. We are a remote-friendly organization at the cutting edge of Generative AI, dedicated to building safe, efficient, and creative language models that transform industries.
In this role, you will bridge the gap between complex machine learning algorithms and practical user applications. You will work closely with data scientists and product managers to fine-tune our proprietary models, ensuring they understand context, nuance, and user intent with surgical precision.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and a culture that prioritizes innovation and work-life balance. As a remote-friendly hub in the heart of Silicon Valley, we provide the tools and autonomy you need to excel.
Responsibilities
- Prompt Strategy & Optimization: Design, develop, and refine complex prompt engineering strategies to maximize the output quality of Large Language Models (LLMs) such as GPT-4, Claude, and Llama.
- Model Evaluation: Conduct rigorous A/B testing and quality assurance on model outputs to ensure accuracy, safety, and alignment with brand voice.
- Iterative Development: Continuously iterate on prompt templates and system instructions to improve response coherence and reduce hallucinations.
- Documentation: Create comprehensive documentation on prompt best practices, methodologies, and case studies for the wider engineering and product teams.
- Cross-Functional Collaboration: Partner with Machine Learning Engineers to translate user feedback into actionable training data and model adjustments.
- Tool Proficiency: Leverage tools like LangChain, PromptLayer, and Hugging Face to manage and scale prompt workflows.
Qualifications
- Experience: 3+ years of professional experience in Prompt Engineering, Natural Language Processing (NLP), or a related AI field.
- Tech Stack: Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow) is highly preferred.
- Model Knowledge: Deep understanding of Transformer architectures, tokenization, and the internal mechanics of LLMs.
- Communication: Exceptional writing skills with the ability to craft clear, concise, and context-aware prompts.
- Ethics: Strong understanding of AI ethics, safety guidelines, and bias mitigation strategies.
- Location: Must be willing to work from our San Jose office or be fully remote-friendly within the US.