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ReductoReductoSan Francisco, CA

Forward Deployed Engineer

Deploys and tunes AI document processing systems in enterprise environments, builds deployment tools, creates diagnostics, and collaborates with customers and engineers. Requires 3-6 years production deployment experience, Python, Kubernetes proficiency, and high agency.

150k – 300k/yr
On-site3+ YOESolutions Architecture

About the role

Responsibilities

  • Deploying and maintaining on-prem and VPC instances of Reducto’s systems, often with complex enterprise constraints (e.g. air-gapped, custom auth, strict latency targets).
  • Building tooling to make deployments faster, more reliable, and easier to debug.
  • Creating diagnostics, dashboards, and eval harnesses to measure performance and track regressions across environments.
  • Writing crisp internal documentation and playbooks for repeatable deployments.
  • Collaborating closely with customers, support, and core engineers to identify high-impact improvements.
  • Acting as a feedback loop to the product and infra teams—surfacing usability gaps, unmet needs, and opportunities to deepen customer value.
  • Working directly with the founders and customers to shape the product direction and engineering strategy.

Requirements

  • 3 to 6 years of experience deploying software in production settings—ideally with enterprise or regulated customers.
  • Excellent with Python and comfortable with Bash and infrastructure.
  • Very comfortable with Kubernetes.
  • High agency, ships fast, quantitative approach to building products, full development lifecycle experience.

Nice-to-Haves

  • Prior experience founding a company or building products at early stages.
  • Keep up with the latest developments in ML/AI.

Skills

PythonKubernetesBashStreamlitMl/Ai

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