Reducto

Forward Deployed Engineer, Infrastructure Specialist

San Francisco Office · Exec

Sponsorship not specifiedDetected 56 days ago

PythonCloud PlatformsKubernetesHelmMachine LearningLLMsCybersecurityIncident ResponseEmbedded Systems

About the role

This role sits at the bridge between Reducto and our enterprise customers' infrastructure, security, and platform teams.
This is hands-on execution work with direct customer exposure, not a bottoms-up platform role.
Leading end-to-end deployment of Reducto into customer environments including planning, configuration, testing, and rollout.

Automatically convert graphs to tabular data and summarize images in documents
Build powerful retrieval pipelines using Reducto's document metadata
Intelligently chunk information using the document's layout data
Each deployment comes with its own hardware, networking, security, and reliability constraints, and you will be the engineer who makes them work.
Are your own worst critic-have an extremely high bar for quality and always aim for robust solutions rather than quick fixes.
Building monitoring, telemetry, and phone-home patterns that give us visibility into customer-controlled environments without compromising their security posture.
Build your own tools on the fly to diagnose, experiment, and address reliability problems-whether it's an internal dashboard or an automated remediation workflow.

Have experience with GPU infrastructure, model serving, or AI/ML workload deployment patterns on customer-controlled hardware.

Have prior experience at an early-stage, high-growth company - as a founder, founding engineer, or early deployment hire.
We're an early stage company which means that the role requires working hard and moving quickly.
At Reducto, we're invested in the well-being and growth of our team.

n, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by app

This listing is sourced directly from Reducto's careers page and normalized into a canonical job model.