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