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Location
In office (Jakarta)
Employment
Full-Time

First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match
An integrated information and technology system provider, dedicated to delivering highly effective solutions in the field of Information Systems. Our core business focuses on information technology services, digital transformation and IT infrastructure.

Tanggung Jawab Utama

1. Riset dan implementasi model AI, terutama:
○ LLM (text processing, reasoning, workflow agent)
○ Computer Vision (object detection, OCR enhancement)
○ Retrieval dan indexing (menggunakan Qdrant, Elasticsearch, atau vector DB lain)
2. Membangun dan mengembangkan API backend berbasis FastAPI untuk integrasi model AI.
3. Mendukung pengembangan produk internal
4. Berpartisipasi dalam proyek custom client, khususnya untuk proof of concept atau prototype berbasis AI.
5. Melakukan eksplorasi tool, framework, dan metode baru dalam bidang AI untuk mendukung roadmap R&D.
6. Berkoordinasi dengan tim R&D lain (deployment, data, dan QA) untuk integrasi sistem yang stabil dan terdokumentasi.
7. Menulis dokumentasi teknis untuk model, API, dan workflow yang dikembangkan.

Qualifications

Kualifikasi Minimum

1 - 2 tahun pengalaman sebagai AI Engineer
Memiliki sarjana S1 atau D4


Hard Skill:
1. Python – mampu menulis kode modular, rapi, dan mudah dibaca.
2. Familiar dengan FastAPI atau framework backend serupa (Flask, Django REST).
3. Dasar penggunaan dan integrasi model AI open-source, minimal pernah menggunakan satu dari:
○ HuggingFace Transformers
○ LangChain / LangGraph
○ OpenCV / YOLO / Donut / PaddleOCR
○ Ollama atau framework inference LLM
4. Pengetahuan dasar tentang database (MongoDB, PostgreSQL, atau lainnya).
5. Familiar dengan Docker dan konsep container deployment (tidak wajib expert).
6. Mampu membaca dokumentasi teknis berbahasa Inggris dengan baik.

Nice to Have:
● Pengalaman membuat project AI kecil (skripsi, freelance, atau pribadi) dengan implementasi end-to-end.
● Familiar dengan Vector Database (Qdrant, Chroma, Weaviate).
● Memahami konsep dasar prompt engineering, agentic AI, atau AI workflow orchestration.
● Mengerti dasar konsep API design dan integrasi antar microservice.

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