VoIP Engineer & AI AutomationStaffinc Group

Staffinc Affiliate RecruiterYogyakarta, DI Yogyakartaglintsопубліковано 13.10.2026
Обов'язково:PythonDockerDataQA/TestAI

Deskripsi Pekerjaan

  • VoIP & SIP Engineering: Act as the primary technical Ops for GoAutoDial/Asterisk configuration. You will solve complex connectivity issues, including NAT traversal, RTP packet loss, and "one-way audio" troubleshooting.
  • AI Pipeline Development: Build and maintain a voice-to-text pipeline using Whisper and Ollama (Phi-4/Hermes) on Apple Silicon (Mac Studio) to automate QA scorecards for up to 100+ agents.
  • System Orchestration: Use n8n to create the "glue" between GoAutoDial recordings, Google Drive Shared Storage, and our internal reporting dashboards.
  • Scripting & Integration: Write Python scripts to automate file management, audio transcoding (ffmpeg/sox), and API interactions between our BPO tools (Moodle, GLPI, Mattermost).
  • Infrastructure Optimization: Collaborate with the Infrastructure Manager to optimize our Colocation server (Dell PowerEdge) for high-concurrency dialing and AI processing.

Persyaratan Pekerjaan

  • Male/Female
  • Age max 40
  • Education : D3/S1
  • Advanced VoIP Skills: Expert-level knowledge of SIP/RTP protocols. You must be comfortable using sngrep, tcpdump, or Wireshark to debug call signaling and audio streams.
  • Linux System Engineering: Deep experience with Linux-based telephony (Asterisk/Vicidial/GoAutoDial) and containerization (Docker/Docker Compose).
  • AI/LLM Experience: Familiarity with running local models via Ollama and integrating them into business workflows.
  • Automation Mindset: Proven track record of building production-grade automations using n8n or similar tools.
  • Problem Solver: Ability to diagnose and fix configuration-level bugs that traditional "Network/Hardware" teams might miss.

Benefit

  • BPJS TK
  • BPJS Kesehatan
  • Tunjangan Hari Raya

Fasilitas Kerja

Skills: Pattern Recognition, Natural Language Processing (NLP), Computer Vision, Data Mining, Redis, Artificial Intelligence, Deep Learning, Machine Learning, Neural Network, Data Engineering