Backend/AI Engineer

Experience: You have 7+ years of experience building real world applications and integrating LLMs into production systems

· Language: You're exceptional at Python

· Tools: Build your own tools as needed—like a quick Streamlit app to test hypotheses or create a dataset.

· Approach: A quantitative approach to building products. Ability to debug, experiment, and iterate fast. You should be comfortable getting hands-on with the full development lifecycle, from ideation to shipping to users.

The Core Work Will Include:

· Integrating and optimizing LLM call

Integrating and optimizing LLM calls for structured extraction, form filling, and document understanding tasks

· Making improvements to API design and pre-processing algorithms (chunking, structured extraction, etc.) based on customer feedback

· Building and improving document processing pipelines that handle everything from PDFs to spreadsheets at scale

· Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency

· Building internal tooling and evals to better understand/analyze failure cases

· Working directly with the founders and customers to shape the product direction and engineering strateg