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.
About the job
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
Python, Kubernetes, Bash, Streamlit, Ml/Ai
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