Senior AI Engineer — Conversational AI & WhatsApp Integrations

Halosis; Jakarta Utara; On-site; IDR 600,000,000 - 900,000,000; Full time

Job summary

Halosis is seeking a patient, hands-on Senior AI Engineer to own and build conversational AI systems, with a focus on chatbot flows and WhatsApp Business API integrations. Join a collaborative team that values clean code, documentation, and peer support to empower growth across the engineering group.

The role emphasizes production-ready AI chatbots, end-to-end integration with CRM and databases, and knowledge sharing within the team. Technical depth in LLMs and backend ecosystems is essential.

Qualifications

• 5+ years of software engineering experience (Node.js, Python, or similar backend ecosystems).
• Hands-on experience building context-aware chatbots, RAG pipelines, or LLM-driven applications.
• Direct experience with the Meta/WhatsApp Business API (or middleware like Twilio/360dialog) and Webhooks.

Responsibilities

• Design, build, and maintain production-ready AI chatbots utilizing modern LLMs, NLP frameworks, and custom logic.
• Own the end-to-end integration of conversational flows with WhatsApp Business API, CRM systems, and internal databases.
• Conduct peer code reviews, maintain robust documentation, and assist with smooth knowledge transfer across the codebase.
• Patiently support and advise mid-level/junior developers, sharing best practices without requiring formal management authority.

Skills

LLM-driven applications

Context-aware chatbots

Node.js

Python

WhatsApp Business API

Webhooks

Tools

Node.js

Python

WhatsApp Business API

Webhooks

Job description

Halosis is seeking a patient, hands-on Senior AI Engineer to own and build conversational AI systems, with a focus on chatbot flows and WhatsApp Business API integrations. Join a collaborative team that values clean code, documentation, and peer support to empower growth across the engineering group.

The role emphasizes production-ready AI chatbots, end-to-end integration with CRM and databases, and knowledge sharing within the team. Technical depth in LLMs and backend ecosystems is essential.