Backend/AI Engineer
Builds and optimizes backend APIs and pipelines for document parsing using LLMs, handling PDFs/spreadsheets at scale. Requires 2+ years experience, exceptional Python, and high agency in production AI systems.
About the job
Responsibilities
- 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 strategy
Requirements
- 2+ years of experience building real world applications and integrating LLMs into production systems
- Exceptional at Python
- Build your own tools as needed (e.g., Streamlit app to test hypotheses or create datasets)
- Quantitative approach: debug, experiment, and iterate fast
- Hands-on with full development lifecycle, from ideation to shipping
Nice-to-Haves
- Prior experience founding a company or building products at early stages
- Experience with prompt engineering, fine-tuning, or building AI agents
- Keep up with latest developments in ML/AI
Benefits
- Unlimited PTO
- Free daily lunch at office
- Reimbursed transportation
- Generous health insurance (medical, dental, vision)
- $150/mo health and wellness budget
- Parental leave
Skills
Python, LLMs, Streamlit, API Design, Document Processing, Prompt Engineering, Fine-Tuning, Pdf Parsing, Llm Optimization, Ml/Ai
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