Software Engineer (Backend / AI)

Software Engineer (Backend / AI)

Location : San Francisco, CA (100% On-site)

Compensation : $140,000 - $300,000 (Base Salary) + Significant Equity

We are a rapidly growing AI company that helps AI teams ingest real-world enterprise data with state-of-the-art accuracy. Our platform trains vision models and integrates LLMs to read unstructured documents (like PDFs and spreadsheets), enabling customers to build products and automate processes at scale. With rapid 7x YOY revenue growth and over $100M in funding , we are seeking a highly skilled Backend / AI Engineer to work on our core document processing API.

This is a high-agency, full-development-lifecycle role where you will build and optimize the core infrastructure that makes state-of-the-art document understanding accessible at scale for hundreds of companies, from startups to large enterprises.

The core work will include :

• LLM Integration & Optimization : Integrating and optimizing LLM calls for structured extraction, form filling, and complex document understanding tasks.
• Pipeline Engineering : Building and improving document processing pipelines that handle everything from PDFs to spreadsheets at scale, based on vision models and LLMs.
• API & Algorithm Design : Making improvements to API design and pre-processing algorithms (chunking, structured extraction, etc.) based on critical customer feedback.
• Experimentation & Evals : Experimenting with new techniques and output structures to improve LLM accuracy and reduce latency. Building internal tooling and evals to better understand and analyze failure cases.
• Product Strategy : Working directly with the founders and customers to shape the product direction and engineering strategy.
• Experience : 2+ years of experience building real-world applications and integrating LLMs into production systems . (Looking for 1-5 years overall experience, ideally in a startup / 0-to-1 setting).
• Language : Exceptional proficiency in Python .
• Approach : A quantitative approach to building products, with the ability to debug, experiment, and iterate fast.
• Philosophy : High bar for quality; you ship fast with high agency and actively jump in to fix problems (not settling for 90%).

Bonus Points :

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility :

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

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