AI Automation & Agent Engineer

Viber's AI Operations team builds and deploys intelligent automation across the company — from sales and finance to support and HR.

As we scale our portfolio of live automations, we're looking for an experienced AI Automation & Agent Engineer to take on a broad and high-impact role. You'll lead new automation projects from ideation to production, own the reliability of existing systems, and serve as the go-to expert helping Viber employees get the most out of AI tools — especially Claude Code. This is a hands-on, cross-functional position at the center of how Viber adopts and scales AI internally.

Responsibilities:

Lead Automation Projects

• Partner with department leads across sales, support, finance, and HR to identify high-impact AI and automation opportunities.
• Design and build LLM-based workflows, integrating APIs, MCP servers, and internal tools.
• Develop agent-like automations and internal copilots that augment decision-making and execution.
• Own the full lifecycle — from ideation and process design through development, testing, and production launch.
• Present project plans, progress updates, and outcomes with measurable impact to stakeholders at all levels.
  
  

• Build robust, maintainable workflows using N8N, Claude Code, and other orchestration tools.
• Integrate across systems using REST APIs, webhooks, and external/internal tools.
• Design reusable patterns for skills, agents, and workflows that can scale across teams.
• Continuously evaluate and adopt new AI tooling, MCP capabilities, and agent frameworks.
  
  

• Monitor, triage, and resolve issues across all live AI automations, copilots, and agents.
• Identify recurring failure patterns and implement systemic improvements to reliability, performance, and cost.
• Ship incremental improvements and new capabilities quickly and safely.
• Maintain clear documentation for workflows, agents, and system behavior.
  
  

• Act as the internal expert and first point of contact for employees using Claude Code and AI tools.
• Help teams build and scale AI skills — from basic usage to advanced workflows and agent design.
• Manage and optimize AI usage and performance across the organization (tokens, costs, reliability, adoption).
• Build and evolve an internal “AI control tower” — providing visibility into usage, performance, governance, and impact.
• Run onboarding sessions, workshops, and create practical guides that empower teams to work independently with AI.
• Guide teams through MCP integrations, tool configurations, and best practices.
• Stay current on Claude Code updates, new MCP capabilities, and emerging AI tooling — and proactively share relevant developments with the team.
  
  

• 3+ years of experience in a technical role — automation engineering, backend development, or AI/ML operations.
• Proven ability to lead projects end-to-end, from requirements to production.
• Hands-on experience building LLM-based workflows, automations, or agents.
• Strong experience with workflow tools (N8N, Zapier, Make, Temporal, or similar).
• Solid coding skills in Python and/or JavaScript.
• Experience integrating systems using APIs, webhooks, and structured data (JSON).
• Strong communication skills — able to work closely with non-technical teams and translate needs into solutions.
  
  

• Experience building internal copilots or AI-powered tools.
• Familiarity with multi-agent systems, MCP ecosystem, or orchestration frameworks.
• Experience defining best practices, patterns, or frameworks for AI usage.
• Background working across business domains (sales, finance, support, HR)
• Experience enabling AI tool adoption — training, documentation, or internal consulting for business teams.