IT & Technology Team

Deskripsi pekerjaan IT & Technology Team PT Agrinas Pangan Nusantara (Persero)

PT Agrinas Pangan Nusantara (Persero) is a state-owned enterprise that has transformed from PT Yodya Karya (Persero). The company operates through three main strategic pillars: Food, Engineering Consultancy, and Construction. Committed to strengthening Indonesia's food sovereignty, Agrinas Pangan Nusantara builds an integrated ecosystem spanning production, distribution, and infrastructure development. We believe that a thriving agricultural sector is the foundation of an independent and prosperous nation. We are currently looking for competent and passionate individuals to join our IT & Technology team in East Jakarta, DKI Jakarta, Indonesia.

We are currently hiring for the following IT positions

• IT Support
• Data Engineer
• AI Engineer
• QA Engineer
• IT Support

Requirement

• Minimum Vocational High School (SMK) in Information Technology, Computer Engineering, Computer Science, or a related field.
• Fresh graduates are welcome; experience in IT Support or Infrastructure Support is an advantage.
• Good understanding of IT infrastructure and networking fundamentals.
• Strong troubleshooting and analytical skills.
• Ability to work independently and collaboratively.

Technical Skill

Networking: TCP/IP, DNS, DHCP, basic subnetting, LAN/WAN/Wi-Fi troubleshooting, router & switch configuration (MikroTik/Cisco), VPN, and basic firewall.

Infrastructure & Server: Linux Server (Ubuntu/CentOS), Windows Server & Active Directory, VMware/Proxmox, and storage & backup fundamentals.

System Operations: System monitoring, incident handling & troubleshooting, software installation & configuration, and user & access management.

Data Engineer

Requirement

• Minimum 3–5 years of experience as a Data Engineer.
• Strong analytical thinking and problem-solving skills.
• Able to work collaboratively in a fast-paced environment.

Technical Skill

• Minimum 3–5 years of experience as a Data Engineer.
• Strong analytical thinking and problem-solving skills.
• Able to work collaboratively in a fast-paced environment.
• AI Engineer

Requirement

• Minimum 3–5 years of experience in AI/ML Engineering
• Hands-on experience in LLM fine-tuning and model optimization in production
• Familiar with Generative Engine Optimization (GEO) strategies and implementation
• Strong understanding of how AI search engines and LLMs retrieve and surface information
• Able to work across technical teams and content/strategy stakeholders

Technical Skill

• LLM Fine-Tuning (LoRA, QLoRA, PEFT — domain adaptation for specific industries)
• Model Serving & Inference Optimization (vLLM, Ollama, TGI, or similar)
• Generative Engine Optimization — structuring and publishing content to improve AI search visibility (Perplexity, ChatGPT, Gemini)
• Familiar with structured data markup, semantic content strategy, and citation optimization for LLM indexing
• Hugging Face ecosystem (Transformers, Datasets, PEFT, Trainer API)
• Python — model training pipeline, data preparation, evaluation
• GPU compute management (CUDA basics, cloud GPU — RunPod, Lambda, GCP/AWS)
• LLM Evaluation (perplexity, BLEU, ROUGE, domain-specific benchmarking)
• QA Engineer

Requirement

• Minimum 3-5 years of experience in software quality assurance, covering both manual and automated testing
• Proven experience designing and executing integration testing and load/performance testing on production-grade systems
• Experience testing web, mobile, and API-based applications with multiple connected systems
• Strong analytical skills and attention to detail, with the ability to write clear bug reports and test documentation
• Able to work collaboratively with developers, product owners, and business users

Technical Skill

• Manual Testing (test plan and test case design, exploratory, regression, and UAT support)
• Test Automation for Web/UI (Playwright, Cypress, Selenium, or similar)
• API Testing and Automation (Postman, REST Assured, or similar)
• Integration Testing across multi-system flows (e.g., POS, ERP, WMS, third-party APIs)

Load and Performance Testing (k6, JMeter, Locust, Gatling, or similar), including bottleneck analysis and reading key metrics (response time, throughput, error rate, p95/p99)

• SQL for data validation and test data preparation
• CI/CD integration for automated test suites (GitHub Actions, GitLab CI, Jenkins, or similar)
• Defect and test management tools (Jira, TestRail, or similar)
• Git, plus basic Linux and Docker for test environment setup