AI Engineer

PT ARENA AGRO ANDALAN

Jakarta Utara

On-site

IDR 279,000,000 - 558,000,000

Full time

11 days ago
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Job summary

Arena Agro Andalan is seeking an AI Automation Engineer to design and deploy multi-agent AI systems that automate compliance workflows at scale. You will build RAG pipelines, connect with enterprise platforms, and ensure audit-ready outputs.

Ideal candidates have 3+ years in AI/ML, strong Python skills, and hands-on experience with LLM APIs and vector databases. This is a high-impact role supporting our food ingredients business.

Qualifications

  • 3+ years in AI/ML engineering.
  • 3+ years in programming.
  • 2+ years working with LLMs (GPT, Claude, open-source).
  • Production experience with RAG systems and multi-agent architectures.

Responsibilities

  • Build multi-agent AI architectures for evidence collection and remediation.
  • Develop RAG pipelines and vector database systems for knowledge retrieval.
  • Create integrations with GitHub, Okta, AWS, GCP, Azure, Jira and enterprise systems.
  • Design hybrid rule + LLM evaluators to ensure accuracy and reduce hallucinations.
  • Use Claude Code and Claude Cowork to accelerate automation pipeline development.
  • Implement LLMOps practices for deployment, monitoring and optimization.

Skills

AI/ML engineering
Programming
LLMs
RAG systems
Multi-agent architectures
Python

Tools

Claude Code
Claude Cowork

Job description

We're looking for an AI Automation Engineer to build multi-agent AI systems that automate compliance workflows at scale. You'll design RAG pipelines, develop LLM-powered agents, and create integrations with enterprise platforms - all while ensuring accuracy and audit-readiness. This is a high-impact role where your work directly powers our compliance automation platform.

Key responsibilities

Build multi-agent AI architectures for evidence collection, gap analysis, and remediation

Develop RAG pipelines and vector database systems for compliance knowledge retrieval

Create integrations with GitHub, Okta, AWS, GCP, Azure, Jira, and enterprise systems

Design hybrid rule + LLM evaluators to ensure accuracy and reduce hallucinations

Use Claude Code and Claude Cowork to accelerate automation pipeline development

Implement LLMOps best practices for model deployment, monitoring, and optimization

Build explainability and traceability features for audit-ready AI outputs

About you

3+ years in AI/ML engineering

3+ years in Programming

2+ years working with LLMs (GPT, Claude, open-source models)

Production experience with RAG systems and multi-agent architectures

Hands-on with Claude Code, Claude Cowork, or similar AI-assisted dev tools

Python (strong proficiency) or any programming language

Experience with LLM APIs: OpenAI, Anthropic Claude, Gemini

Vector databases: Pinecone, Weaviate, Chroma, Qdrant

Cloud platforms: AWS, GCP, or Azure

Agriculture, Forestry & Fishing 51-100 employees

Arena Agro Andalan (AAA) is a food ingredients producer, which specializes in manufacturing high quality tapioca, sago and corn starch. We turn these basic foodstuffs into starch and other derivatives, that has various applications in the food processing and industrial uses.

Founded in 2010, AAA is currently operating a fully-automated starch factory in West Kalimantan. Our second and more advanced factory in Central Java has been commencing its production since 2013. In addition to producing starch, AAA also generating other derivative by-products that include germ meal, fibre feed, and gluten feed meal.

Arena Agro Andalan (AAA) is a food ingredients producer, which specializes in manufacturing high quality tapioca, sago and corn starch. We turn these basic foodstuffs into starch and other derivatives, that has various applications in the food processing and industrial uses.

Founded in 2010, AAA is currently operating a fully-automated starch factory in West Kalimantan. Our second and more advanced factory in Central Java has been commencing its production since 2013. In addition to producing starch, AAA also generating other derivative by-products that include germ meal, fibre feed, and gluten feed meal.

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