Software Engineer (Backend/AI) at MLabs

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

300000.0

Posted On

28 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LLM Integration, Pipeline Engineering, API Design, Algorithm Design, Experimentation, Product Strategy, Debugging, Iterating, Document Processing, Vision Models, Structured Extraction, Form Filling, Customer Feedback, High Quality Standards, Fast Shipping

Industry

IT Services and IT Consulting

Description

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: Prior experience founding a company or building products at early stages. Experience with prompt engineering, fine-tuning, or building AI agents. Keeps up with the latest developments in ML/AI. Equity & Compensation: Competitive salary ($140,000 - $300,000) with significant early-stage equity (0.1% - 1%). Growth: Opportunity to work directly on the core API of a company processing tens of millions of pages monthly, with a high trajectory in the AI ingestion space. Work Policy: 100% On-site in San Francisco, CA. The role requires working hard and moving quickly. Time Off: Unlimited PTO. Health & Wellness: Generous health insurance (medical, dental, vision) and up to $150/month reimbursement for health and wellness spending. Office Perks: Daily free lunch provided at the office and reimbursed transportation. Visa Support: Visa sponsorship is not available. 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. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Responsibilities

The role involves building and optimizing the core infrastructure for document understanding at scale. You will work on integrating LLMs, improving document processing pipelines, and enhancing API design based on customer feedback.