Remote Customer-Facing AI Workflows Engineer

Smartcat

Oregon

Hybrid

USD 120,000 - 150,000

Full time

8 days ago

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Benefits offered by this job

Remote-friendly roles
Up to 40% travel

Job summary

Smartcat is seeking a hands-on engineer to build and deploy customer translation workflows, guide onboarding, and support renewals for enterprise customers. You will focus on L&D, websites, and marketing workflows, working across CMS, DAM, PIM, LMS, and commerce systems.

You’ll travel up to 40% and partner with Account teams to demonstrate value and resolve blockers. Key responsibilities include technical scoping, AI workflow construction, and deployment patterns that scale with client needs,

Qualifications

  • Shipping software or integrations for enterprise customers is a must.
  • Hands-on coding across APIs, authentication, webhooks, and data transformation.
  • Experience building AI workflows and evaluating quality, reliability, latency, and cost.

Responsibilities

  • Scope customer needs into technical plans with clear dependencies and outcomes.
  • Build AI workflows using prompts, translation memories, and human review.
  • Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems.
  • Own production readiness: security, testing, monitoring, and quality evaluation.
  • Support enablement with Account teams and identify valuable follow-on work.
  • Turn customer work into reusable connectors and inform Product priorities.

Skills

API integrations
Webhooks
Data transformation
Testing & debugging
Deployment ownership
Customer-facing engineering

Tools

Git
CI/CD
APIs management

Job description

Smartcat is seeking a hands-on engineer to build and deploy customer translation workflows, guide onboarding, and support renewals for enterprise customers. You will focus on L&D, websites, and marketing workflows, working across CMS, DAM, PIM, LMS, and commerce systems.

You’ll travel up to 40% and partner with Account teams to demonstrate value and resolve blockers. Key responsibilities include technical scoping, AI workflow construction, and deployment patterns that scale with client needs,

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