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Forward Deployed Engineer, Enterprise Document AI (SF)

lavendoSan FranciscoSolutions & Sales Engineering
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Salary
$220K – $320K
Job type
Full-time
Experience
Senior · 3+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

The Forward Deployed Engineer, Enterprise Document AI position at lavendo is an on-site role based in San Francisco that suits engineering professionals with enterprise software and AI pipeline experience. This founding opportunity requires working in person five days a week to bridge customer deployments and core platform development.

Role Overview

As a Forward Deployed Engineer, the professional owns technical success for enterprise accounts by driving evaluations, building custom applications, and troubleshooting integrations. The position combines software engineering with customer-facing responsibilities in a founder-led, engineering-first environment. Candidates must work on-site in San Francisco full-time.

Key Responsibilities

Transform client requirements into functioning software applications and system integrations.
Collaborate with account teams on evaluations, bespoke demos, and competitive benchmarking.
Develop custom agents, diagnostic dashboards, evaluation harnesses, and product additions.
Guide technical success for specific enterprise accounts through regular syncs.
Troubleshoot and resolve integration bottlenecks to increase platform adoption.
Communicate technical choices and compromises clearly to customer stakeholders.
Discover new use cases and channel customer feedback into product priorities.

Requirements

Minimum of three years of full-time production engineering experience delivering software to enterprise clients.
Background at a prominent, high-growth startup with high engineering standards.
Independent experience building, launching, and maintaining production software or machine learning pipelines.
Production-level Python proficiency and strong software engineering fundamentals.
Working knowledge of artificial intelligence, large language models, and machine learning principles.
Experience deploying enterprise solutions across integrations and troubleshooting environments.
Ability to lead technical discussions with customers and communicate clearly.
Availability to work in-person in San Francisco five days per week.

Skills and Tools

Python
Large Language Models
Claude
Codex

Salary and Benefits

Annual salary ranging from $220,000 to $320,000.
Equity options.
Medical, dental, and vision insurance coverage.
Unlimited paid time off and flexible parental leave.
Daily office lunch and reimbursed transportation.
Up to $150 per month in wellness reimbursement.
Visa sponsorship and transfers available.

About the Company

The hiring client is a Series B enterprise artificial intelligence startup that builds infrastructure to convert complex unstructured files into structured, AI-ready data. The API-driven platform processes PDFs, images, and spreadsheets to help organizations create production AI applications. The organization features a founder-led, engineering-first team focused on deployment reliability.

How to Apply

Visit the official company careers page to submit an application for this position.

Skills and tech stack

Questions candidates ask

Is remote work permitted for this role?

No, this position requires full-time, in-person work in San Francisco five days per week.

How many years of experience are required?

Candidates must have at least 3 years of full-time production engineering experience shipping software for enterprise customers.

What visa support is provided?

Visa transfers and sponsorship are available, including options such as OPT and H-1B transfers.

What is the compensation package?

The annual salary ranges from $220,000 to $320,000, accompanied by equity, medical, dental, and vision coverage, unlimited PTO, and daily office perks.

What programming language is required?

The role requires production-level Python skills and solid engineering fundamentals.

Ready to apply?

The application is on the official lavendo careers page.

Apply on company site