Job Description
Join NeuralCore Solutions Inc. in Mesa, AZ as a Senior Prompt Engineer and revolutionize AI interactions! We offer competitive weekly pay, cutting-edge projects, and a collaborative environment where your expertise in natural language processing will drive innovation.
As a key member of our AI Innovation Lab, you'll craft sophisticated prompts that optimize large language models, enhance user experiences, and deliver scalable AI solutions. This hybrid role combines technical depth with creative problem-solving, offering weekly compensation and growth opportunities in one of Arizona's fastest-growing tech hubs.
Why NeuralCore? We prioritize work-life balance with flexible schedules, comprehensive benefits, and weekly paychecks. Our Mesa campus features modern facilities and a culture that values innovation and employee well-being.
Responsibilities
- Design, develop, and optimize AI prompts for enterprise-level applications across healthcare, finance, and retail sectors
- Collaborate with ML engineers to fine-tune GPT, Llama, and proprietary models for maximum efficiency
- Create prompt engineering frameworks and documentation for cross-functional teams
- Conduct A/B testing on prompt variations to improve response accuracy and relevance
- Stay current with NLP advancements and implement emerging prompt engineering techniques
- Mentor junior engineers and establish best practices for prompt lifecycle management
- Present findings to stakeholders through technical demos and performance reports
Qualifications
- Bachelor's degree in Computer Science, AI, Linguistics, or related field (Master's preferred)
- 3+ years of hands-on prompt engineering experience with LLMs (GPT-4, Claude, etc.)
- Proficiency in Python and experience with AI frameworks (LangChain, Hugging Face)
- Strong understanding of transformer architectures and attention mechanisms
- Portfolio demonstrating successful prompt optimization projects
- Excellent analytical skills with ability to troubleshoot AI model behaviors
- Certifications in AI/ML or prompt engineering (AWS ML, Google AI, etc.)
- Ability to work in a fast-paced environment with agile methodologies