NLP​/NLG Engineer

Fabley was founded on the vision that all future entertainment will be AI-generated and personalized to create the peak human experience. Today, we are building a responsible foundation for such a future.

We are a small team that wants to make an outsized impact on the world. And we would love to welcome you to join us in that effort. Passion, self-learning, and joy from working at the forefront of technology are a must. You will work in a driven team, and your input will be highly valued. You must be willing to join us in working extended hours and weekends as needed.

You will work remotelyand must be okay with time-tracking and screenshots.

Generative AI will change our world forever, and we need to get it right. You will work with the most cutting-edge AI technologies and implement them yourself. This is uncharted territory, and, in your role, you will create something truly special that has never been done before: A text-based mass multiplayer game entirely operated by AI agents.

As an NLP/NLG Engineer, you will design, implement, and maintain the core technology behind Fable. The NLG and RAG systems will power the content Fabley generates and personalizes to the user. You are expected to keep up with the latest advancements in AI, machine learning, and computational linguistics to apply cutting-edge techniques to Fabley.

- Find ways to bring Fabley's vision to life, especially the multiplayer

- Use advanced natural language processing and generation to bring dynamic worlds to life

- Create round-based and simultaneous multiplayer where hundreds of players can interact

- Create AI agents that manage those worlds via RAG

- Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 3+ years of professional experience in software development in lieu of a degree

- Developed and deployed software that has been used in real-world applications and projects

- Be proficient in Lang Chain or similar

- Be proficient in vector databases like Zep or similar

- Experience with hosting and scaling those technologies

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.