Prompt Engineer

Our AI image generation company for ecommerce is seeking a talented and experienced Prompt Engineer to join our team. As a Prompt Engineer, you will be responsible for designing and implementing prompt strategies for our image generation models, ensuring that our models produce high-quality and relevant images in a timely manner. You will work closely with our AI research and development teams to identify areas for improvement in the image generation process and develop solutions to optimize and enhance our models.

Infrastructure Systems Dev Ops CI/CD Role

The main goal for the project is to implement and manage the infrastructure systems for Savi Finance's Personal Finance Planning SaaS Web Application and companion Mobile App. This includes setting up and maintaining the development operations (Dev Ops) and continuous integration/continuous deployment (CI/CD) processes to ensure efficient and reliable software delivery.

Prompt Engineering -- Creating GPTs

GPTs are a new type of application that are built for the ChatGPT store. We have created some of the top GPTs in the store related to marketing (Facebook ads, Google ads, SEO, etc.). We need your help to fix bugs, make improvements, and even launch new GPTs. You will work with an experienced prompt engineer and leverage our proprietary resources on how to effectively create, optimize, and monetize GPTs. This opportunity is analogous to building apps for the iPhone App store in 2008.

AI Language Learning - pronunciation training R&D

Our company is a startup focused on helping language learning students mastering a new language primarily via voice enabled applications. Currently we work with various OpenAI APIs and just released a language learning partner, voice based assistant you can try for yourself at https://sunnydays.tech/#talk-to-kaki   *Ideal candidates enjoy an open exploration challenge. Are learning or mastering 1 language in addition to their native language(s). Comfortable using Javascript|Typescript or Python.  We’re currently investigating a new feature, which you may lay down the groundwork for. The core of the feature is, given an audio file the student was just taught and are willing to repeat out loud, take a recording of their speech and compare against the original audio, while flagging any significant discrepancies where they happen. The logic may run on the FE or backend. We would like to collaborate with students to research and apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our problem. Altho to be explicit it’s not necessary to apply said techniques if a classic crafted algorithm works well. The initial language to be considered may be one of: English, Japanese, Spanish, Portuguese. At any rate consider the solution must be able to adapt into multiple mainstream languages. Input: 2 audio files of the same encoding type (something common like .mp4), a base ideal vs. user recording. Output: an array of: either points in time, or ranges, where the pronunciation didn’t seem to match input.