Fully automating data transformation and data modeling has been an unsolved problem in technology since the invention of the database; therefore, it is technically challenging. It requires a deep understanding of both scalable data infrastructure and cutting-edge AI models. We are looking for curious, independent thinkers that are willing to join us to tackle these challenges to empower the industry.

In this role, you will:

Innovate on the cutting-edge of AI by conducting research, applying the latest advancements in the generative AI field, and architecting new approaches.
Build and maintain, durable, scalable infrastructure capable of processing Gigabytes/sec particularly related to calls to LLMs and the reliability of the output.
Design and implement novel techniques, tools, and architectures that improve performance, latency, throughput, and efficiency across a multitude of models (OpenAI, Mistral, Llama, Anthropic, etc).
Have extreme ownership: work alongside the founders to shape product direction, have direct relationships with customers, and help build out our team.

In this role, you will thrive if you:

Have experience building and deploying LLMs into a production environment and are familiar with the advantages of the technology and its limitations. You also have experience in prompt engineering and stay informed about the latest advancements in LLMs.
Can identify the most important problems, intuit whether off-the-shelf or in-house solutions are needed, learn the knowledge gaps you are missing for the problem, and stay scrappy to execute the task until it is solved without explicit direction.
Feel comfortable sharing feedback early and often, as well as receive feedback.
Have at least 3 years of professional ML or Data Infrastructure experience.

Location

We are located in Manhattan, NY, working in person 5 days a week from our beautiful downtown office.

Lume

Founding Software Engineer

Manhattan, NY$150Kfull-time