AI Automation Engineer

Octopus Plus

Muratpaşa

On-site

TRY 480,000 - 740,000

Full time

2 days ago
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Job summary

Octopus Plus is building automation-first back-office workflows that reduce manual work by turning reservation changes, supplier confirmations, and operational checks into self-running processes. You’ll design end-to-end agentic flows, integrate LLM-driven steps, and implement robust guardrails for safe production use.

You’ll own the framing, implementation, and production metrics, collaborating with product managers and engineers to remove high-leverage manual tasks.

Qualifications

  • 3+ years building production backend systems
  • Hands-on experience with LLM APIs, function calling and agent frameworks
  • Thinks in workflows and failure modes, not demos
  • Comfortable owning a problem from framing to production metrics
  • Working proficiency in English

Responsibilities

  • Design and ship agentic workflows that automate reservation, operation and supplier follow-up flows end to end
  • Integrate LLM-driven steps into existing module pipelines
  • Build the guardrails, evals and fallbacks that let automations fail safely in production
  • Work with operations-side product managers to find high-leverage manual work to remove
  • Instrument everything: measure hours saved and error rates, not demo quality

Skills

Backend development
LLM APIs
Workflow design
Production systems
English proficiency

Tools

Message queues
Event-driven architecture

Job description

About The Role

Octopus is automation-first by design. You'll build the agentic workflows that turn manual back-office work (reservation changes, supplier confirmations, operations checks) into flows that run themselves. You'll work across the platform's modules with a direct line into how DMCs and tour operators actually operate, and your success metric is hours of manual work removed, not features shipped.

What you’ll do
  • Design and ship agentic workflows that automate reservation, operation and supplier follow-up flows end to end
  • Integrate LLM-driven steps (classification, extraction, drafting) into existing module pipelines
  • Build the guardrails, evals and fallbacks that let automations fail safely in production
  • Work with operations-side product managers to find the highest-leverage manual work to remove
  • Instrument everything: measure hours saved and error rates, not demo quality
What we're looking for
  • 3+ years building production backend systems (.NET, Node.js or similar)
  • Hands‑on experience with LLM APIs, function calling and agent frameworks
  • You think in workflows and failure modes, not demos
  • Comfortable owning a problem from framing to production metrics
  • Working proficiency in English
Nice to have
  • Travel‑tech or B2B SaaS domain experience
  • Message queues and event‑driven architecture
  • You've shipped an internal automation people actually rely on
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