Contextual AI’s RAG 2.0 technology enables enterprises to move beyond demos to actual production-grade AI applications. However, getting RAG 2.0 models to deliver best results is still an art and requires working with a mixture of programming, instructing, and finetuning. As a Prompt Engineer, you will bring discipline to this process by applying a range of techniques (such as DSPy) to systematically discover and document prompting best practices for customer-specific workloads and beyond. Collaborating closely with research engineers and platform engineers, you will design and optimize prompts that guide RAG 2.0 models to produce accurate, relevant, and contextually appropriate responses.
Given that prompt-engineering is still a new domain, we suggest that you share with us any prompt engineering project on LLMs that you’re proud of working on. Ideally, showcase how you systematically used the techniques to improve and evaluate an LLM’s behavior. If you have experience with ML projects involving dataset curation and processing that will work as a substitute as well.
Location: Mountain View, CA
Salary Range for California Based Applicants: $150,000 - $200,000 + equity + benefits (actual compensation will be determined based on experience, location, and other factors permitted by law).
Contextual AI provides equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, age, national origin, physical or mental disability, military or veteran status, genetic information, or any other protected classification. Equal employment opportunity includes but is not limited to, hiring, training, promotion, demotion, transfer, leaves of absence, and termination. Contextual AI takes allegations of discrimination, harassment, and retaliation seriously, and will promptly investigate when such behavior is reported.
