AI Specialist

Remote Freelance; Jakarta Pusat; Remote; IDR 1,498,876,000 - 2,248,314,000; Full time

Job summary

Remote Freelance, an MSP company based in Sydney, Australia, is seeking a hands‑on AI Engineer to design, develop and deploy practical AI solutions that improve business operations and support client projects.

The role requires strong Python programming, API integration, experience with AI platforms and local deployment. You will own projects end‑to‑end—from concept through testing to deployment and ongoing optimization.

Qualifications

• Hands-on AI development experience.
• Ability to design, build and deploy AI solutions.
• Strong programming and API integration skills.

Responsibilities

• AI Development: Build AI agents, assistants, bots and reusable skills to automate business processes.
• MCP & Integrations: Develop custom MCP servers and integrate AI with APIs, databases and business platforms.
• AI Platforms: Work with OpenAI/ChatGPT, Claude, Grok and other AI models and APIs.
• Local AI Deployment: Configure and maintain private or offline AI systems using Ollama, llama.cpp, vLLM or similar.
• Software Development: Build Python applications, backend services, automation scripts and API integrations.
• Business Automation: Identify opportunities to improve workflows across operations, sales, customer service and administration.
• Security & Reliability: Implement access controls, testing, monitoring and documentation.
• Project Delivery: Manage solutions from concept to deployment, troubleshooting and ongoing improvement.
• Strong Python programming and API integration skills.
• Knowledge of AI APIs, prompt engineering, tool calling and structured outputs.
• Experience with RAG, embeddings, vector databases and document retrieval.
• Ability to deploy and manage locally hosted AI models.
• Familiarity with Docker, Linux, Git, SQL and cloud environments.
• Strong problem‑solving skills and ability to work independently.
• Good written and spoken English.

Skills

Python programming

API integration

AI platforms

Prompt engineering

Tool calling

Structured outputs

RAG

Embeddings

Vector databases

Locally hosted models

Docker

Linux

Git

SQL

Cloud environments

Tools

Python

Docker

Linux

Git

SQL

Cloud platforms (Azure/AWS)

Job description

MSP company based in Sydney, Australia looking for hands‑on AI Engineer to design, develop and deploy practical AI solutions that improve business operations and support client projects.

The ideal candidate will have strong programming skills, experience building AI agents and integrations, and the ability to turn business challenges into reliable, working solutions.

About the Role

You will work closely with management and technical teams to develop AI applications, automate workflows, build custom MCP servers and deploy cloud‑based and locally hosted AI systems.

This is a practical development role requiring ownership from initial design through to deployment, testing and ongoing support.

Key Responsibilities

AI Development: Build AI agents, assistants, bots and reusable skills to automate business processes.

MCP & Integrations: Develop custom MCP servers and integrate AI with APIs, databases and business platforms.

AI Platforms: Work with OpenAI/ChatGPT, Claude, Grok and other relevant AI models and APIs.

Local AI Deployment: Configure and maintain private or offline AI systems using Ollama, llama.cpp, vLLM or similar.

Software Development: Build Python applications, backend services, automation scripts and API integrations.

Business Automation: Identify opportunities to improve workflows across operations, sales, customer service and administration.

Security & Reliability: Implement appropriate access controls, testing, monitoring and documentation.

Project Delivery: Manage solutions from concept to deployment, troubleshooting and ongoing improvement.

Strong Python programming and API integration skills.

Knowledge of AI APIs, prompt engineering, tool calling and structured outputs.

Experience with RAG, embeddings, vector databases and document retrieval.

Ability to deploy and manage locally hosted AI models.

Familiarity with Docker, Linux, Git, SQL and cloud environments.

Strong problem‑solving skills and ability to work independently.

Good written and spoken English.

Highly Desirable

Experience integrating Odoo, ConnectWise, Jira or Microsoft 365.

Workflow automation using n8n, Make or Power Automate.

Knowledge of agent frameworks and multi‑agent workflows.

Experience with Azure, AWS, PostgreSQL or vector databases.

Background in managed IT services or business systems integration.

Examples of Projects

AI assistants for ticket management, reporting and operational tasks.

Custom MCP servers connecting AI agents to Odoo or ConnectWise.

Automated sales follow‑ups, CRM updates and document processing.

Internal knowledge assistants using company documentation.

What We're Looking For

We value practical experience and demonstrated results over qualifications alone.

You should be comfortable developing solutions independently, understanding business requirements, troubleshooting technical issues and delivering AI applications that provide measurable value.