Forward Deployed Engineer, Enterprise Document AI

Lavendo

. Turn customer requirements into working applications and integrations .

Posted 11/3/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $220,000 - $320,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying production applications, with a strong foundation in Python and AI concepts. Capable of translating customer insights into actionable product improvements while effectively communicating technical decisions to stakeholders.

Highest-signal resume keywords

Production-Level PythonAI And Machine Learning ConceptsEnterprise Deployment ExperienceTechnical Customer CommunicationIndependent Ownership Of Applications

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production EngineeringSoftware ShippingBuilding ApplicationsIntegrationsTroubleshootingPerformance MeasurementDebuggingExperimentationAI PipelinesLLMs

Soft Skills

Clear CommunicationConfidence In Technical Conversations

Tools & Technologies

ClaudeCodex

Industry Keywords

Enterprise CustomersHigh-Growth StartupTechnical SuccessCustomer RequirementsProduct Enhancements

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Turn customer requirements into working applications and integrations
Partner with AEs and SEs on evaluations, custom demos, and competitive benchmarking
Build custom applications, agents, evaluation tools, and product enhancements
Own technical success for 1–3 enterprise accounts, meeting weekly or biweekly
Resolve deployment and integration issues to deepen adoption
Build diagnostics, dashboards, and evaluation harnesses to measure performance and catch regressions
Explain technical decisions and trade-offs to customer stakeholders
Identify new use cases and expand deployments across teams
Translate customer insights into product improvements and engineering priorities
Work directly with founders, product, and engineering to shape the platform and establish future deployment practices

Requirements

What you’ll need

3+ years of full-time production engineering experience shipping software for enterprise customers
Experience at a recognizable, high-growth startup with strong engineering standards
Independent ownership of building, deploying, and supporting production applications or AI pipelines
Strong production-level Python and engineering fundamentals
Solid understanding of AI, LLMs, and machine learning concepts
Use of Claude, Codex, or similar coding tools beyond autocomplete, guided by sound technical judgment
Enterprise deployment experience spanning integrations, troubleshooting, and customer-specific constraints
Clear communication and confidence leading technical customer conversations
A quantitative approach to debugging, experimentation, and performance measurement
Willingness to work on-site in San Francisco five days per week

Benefits

Comp & perks

Competitive equity
Medical insurance
Dental insurance
Vision insurance
Unlimited PTO
Flexible parental leave
Up to $150/month in eligible health and wellness reimbursement
Free daily lunch
Reimbursed transportation
Visa transfers and sponsorship