Forward Deployed Engineer - Enterprise AI Infrastructure (On-site SF)

Job Description

Job Description

Forward Deployed Engineer – Enterprise AI Infrastructure

Full-time | On-site | San Francisco, CA
Compensation: $220,000–$320,000 total compensation ($150,000–$300,000 base salary + competitive equity)
Visa Sponsorship: Available

About the Role

We are looking for a Forward Deployed Engineer with 3–6 years of experience to sit at the intersection of deep engineering and customer impact, owning the technical deployment of an AI-powered document platform for sophisticated enterprise customers.

This is a founding Forward Deployed Engineer role at a fast-growing, Series B AI infrastructure company with approximately 75 employees that has raised more than $100 million in funding. The company processes tens of millions of document pages each month and is experiencing rapid year-over-year growth. You'll help shape what this function looks like from the ground up while working directly with customers and internal engineering teams.

What You'll Do

• Partner with Account Executives and Solutions Engineers during pre-sales to run technical evaluations, build custom demo applications, and support competitive evaluations.

• Own post-sales technical success for 1–3 enterprise customers by meeting regularly with customers, resolving technical challenges, increasing product adoption, and identifying expansion opportunities.

• Build whatever is needed to drive customer success, including:

  • Evaluation harnesses

  • Prototype applications

  • Diagnostic dashboards

  • Custom API integrations

• Embed with enterprise engineering teams to deploy new AI document solutions for customers who need hands-on technical support.

• Share customer feedback with Product and Engineering teams to influence future product direction.

Required Qualifications

• 3–6 years of experience in full-stack (backend-leaning) or product engineering, including Software Engineering or Forward Deployed Engineering experience.

• Strong Python skills with the ability to independently build and ship production-quality software.

• Experience working with AI/LLM technologies and modern AI coding tools.

• Experience building production software at a high-growth startup serving enterprise customers.

• Comfortable participating in technical conversations with enterprise customers.

• Stable work history without repeated short job tenures.

Preferred Technical Experience

Experience with some or all of the following:

• Python

• Bash

• Streamlit

• OCR

• Large Language Models (LLMs)

• Vision-Language Models

• REST APIs

• Document Parsing

• AI/ML Tooling

• Evaluation Frameworks

About the Company

Most enterprise data exists in documents such as PDFs and spreadsheets, including financial records, medical documents, contracts, and other complex files. This company provides AI infrastructure that transforms these documents into highly accurate, LLM-ready data.

Its platform combines proprietary technology with leading frontier AI models to deliver accurate document workflows for organizations ranging from startups to Fortune 10 enterprises. The platform supports enterprise deployments with flexible cloud and air-gapped environments, SOC II and HIPAA compliance, and zero data retention.

Company Overview

• Series B AI infrastructure company

• Approximately 75 employees

• Founded in 2023

• More than $100 million in funding

• Headquarters in San Francisco, CA

Culture

The team values people who are:

• Engineering-first while remaining customer-focused

• Self-directed with strong ownership

• Comfortable working cross-functionally

• Detail-oriented

• Able to thrive in a fast-paced, early-stage environment

Forward Deployed Engineers work closely with Engineering, Product, Sales, and Customer Success to ensure customer feedback directly influences the product roadmap.

Compensation & Benefits

• $220,000–$320,000 total compensation

• $150,000–$300,000 base salary

• Competitive equity package

• Visa sponsorship available

• Full-time position

• On-site in San Francisco, CA (5 days per week)