Forward Deployed Engineer

1. JOB IDENTIFICATION

Position Title : Forward Deployed Engineer

1. DETAILS OF DUTIES AND RESPONSIBILITIES

2. Job Description:

You'll be the engineering muscle behind getting company's document-AI products (Document Parse,

Information Extract, Solar LLMs) running reliably in customer environments — from POC through

production. This is hands-on delivery and support engineering: standing up and troubleshooting

deployments across SaaS, cloud, and container stacks, root-causing issues that span APIs,

services, and pipelines, and iterating on extraction configurations to hit customer accuracy targets.

You'll work directly with our small, senior US delivery team and partner with product/engineering in

Korea. One person's engineering capacity directly determines how many customers we can take on

— this role expands that ceiling.

1. WHAT YOU'LL DO

• Own technical delivery and support

  for customer deployments and POCs — provision environments, wire up API integrations, deploy and debug containerized services across AWS/Azure.

• Diagnose issues end-to-end

  across the stack (integration, classification, extraction, OCR output) and either resolve them or isolate a clean root cause for the product team.

• Tune and iterate

  Information Extract / Document Parse pipelines (schema design, config) to meet customer accuracy requirements.

• Turn recurring delivery patterns

  into reusable skills, templates, runbooks, and docs so the team scales.

• Support CSP Marketplace listings and partner enablement as needed.

1. QUALIFICATION STANDARDS
   1. MUST-HAVE

• 3-5 years building/operating on AWS and/or Azure; strong with APIs and cloud infrastructure.
• High proficiency in at least one programming language (Python or TypeScript preferred; Go/Java/C++ welcome).
• Proficiency with Linux, command line, and Bash scripting.
• Hands-on with Docker, Docker Compose, and container orchestration.
• Demonstrated ability to take an ambiguous technical problem and decompose, research and resolve it independently — minimal hand-holding.
• Clear written technical communication; comfortable in customer-facing troubleshooting.
• AI fluency — you're fluent and comfortable using AI tools to scale your expertise and move faster, but never as a shortcut. You stay personally accountable for the quality of everything you ship regardless of how it was produced, and you keep experimenting — always trying new tools and approaches rather than defaulting to the familiar
  1. NICE-TO-HAVE
• Experience with LLM-based workflows, automation agents, or document-AI / data-extraction pipelines.
• DevOps / deployment automation / IaC; CSP Marketplace (AWS/Azure) listing or operations experience.
• A track record of proposing field-driven improvements back into product.
• Additional cloud experience (GCP, Oracle Cloud, etc.).
• Experience monitoring, debugging, and patching/upgrading live production systems, prioritizing user experience and system availability.