Artificial Intelligence Engineer

IP-TRIBE; Jakarta Pusat; On-site; IDR 360,000,000 - 700,000,000; Full time

Job summary

IP-Tribe is seeking an AI Engineer to drive the evolution of its flagship LLM Ops platform. You will develop, fine-tune, and integrate Large Language Models (LLMs) to deliver high-impact, scalable solutions for Tier-1 telecommunications and global business enterprises.

You will lead end-to-end AI architecture, optimise models (SFT, LoRA/QLoRA), extend the platform with Python-based operators, data connectors, and API wrappers, and apply classical ML alongside LLMs for complex tasks.

Qualifications

• Bachelor's Degree in Applied Artificial Intelligence or Computer Science, or similar capacity.
• Completed projects using AI tech stack.
• Good understanding of Object Oriented Programming.
• Full-stack development and good understanding of SDLC.
• Experience working in a project team.

Responsibilities

• Lead the design and implementation of production-ready AI workflows.
• Own the full model lifecycle from SFT to parameter tuning (LoRA/QLoRA).
• Architect custom Python-based operators, data connectors, and API wrappers.
• Apply classical ML alongside LLMs for complex analytical tasks.
• Design and optimize Retrieval-Augmented Generation pipelines and vector DB architecture.
• Establish benchmarking to minimise hallucinations and ensure security compliance.

Skills

Python

Pandas

NumPy

Scikit-learn

FastAPI/Flask

LLM Integration

Prompt Engineering

Chain-of-Thought

Linux

Docker

GitHub Portfolio

Education

Bachelor's Degree in Applied AI or Computer Science

Tools

Agentic workflows

MLflow

Vector Databases

Job description

As an AI Engineer, you will be driving the evolution of IP-Tribe's flagship LLM Ops platform. You will develop, fine-tune, and integrate Large Language Models (LLMs) to deliver high-impact, scalable solutions for Tier-1 telecommunications and global business enterprises.

Key Responsibilities

End-to-End AI Architecture:

Lead the design and implementation of complex, production-ready AI workflows, transforming LLMs into robust functional applications such as automated customer support and intelligent outage prediction.

Advanced Model Optimisation:

Own the full model lifecycle, including Supervised Fine-Tuning (SFT) and advanced parameter tuning (LoRA/QLoRA) within the Tribal AI environment to optimise performance on domain-specific telco data.

Platform Extension & Engineering:

Architect custom Python-based operators, data connectors, and API wrappers to expand the core capabilities and scalability of the Tribal AI platform.

Hybrid ML Solutions:

Strategically apply classical machine learning and statistical modelling alongside LLMs to ensure the "right tool for the right job" for complex analytical tasks.

RAG & Vector Management:

Design and optimise sophisticated Retrieval-Augmented Generation (RAG) pipelines, managing advanced chunking strategies, embedding selection, and vector database architecture.

Quality & Compliance Leadership:

Establish performance benchmarking frameworks to evaluate model accuracy, minimise hallucinations, and ensure strict compliance with enterprise security standards.

Technical Skill Requirements

Expert Programming:

Advanced Python proficiency (Pandas, NumPy, Scikit-learn, FastAPI/Flask) with an emphasis on writing clean, maintainable, and scalable production code.

ML & Deep Learning Theory:

Deep understanding of machine learning theory, including supervised/unsupervised learning, feature engineering, and complex evaluation metrics.

LLM Engineering:

Proven track record of integrating diverse LLMs (OpenAI, Gemini, Llama, Qwen, or DeepSeek) into enterprise-grade software.

Prompt & Reasoning Architecture:

Advanced expertise in Prompt Engineering, Chain-of-Thought reasoning, and managing model parameters (Temperature, Top-P, Context Windows) for deterministic outputs.

DevOps & Infrastructure:

Proficiency in Linux environments and Docker for containerised deployments, ensuring seamless CI/CD for AI models.

Preferred Skills

Proven Portfolio:

A strong GitHub repository or portfolio demonstrating complex, deployed AI/ML systems (e.g., multi-agent systems, predictive telco models, or enterprise chatbots).

Advanced Tooling:

Deep familiarity with Agentic workflows, MLflow, and the management of high-performance Vector Databases.

At least 1 year's experience in AI-related software development

Educational Qualifications

Bachelor's Degree in Applied Artificial Intelligence or Computer Science, or similar capacity

Completed projects using AI tech stack

Good understanding of Object Oriented Programming

Full-stack development and good understanding of SDLC

Experienced working in a project team

Why Join IP-Tribe?

Work at the cutting edge where 5G infrastructure meets Enterprise AI. In this role, you won't just use a platform; you will master and build the future of Tribal AI, delivering innovation for the world's major telecommunications players.