Responsible for designing, developing, deploying, and optimizing Agentic AI solutions that enhance operational efficiency, automate business workflows, and support enterprise digital transformation initiatives.
Design, develop, and deploy AI agents, copilots, and multi-agent systems for business automation and intelligent workflows.
Translate business requirements into scalable AI-driven solutions aligned with enterprise architecture and digital transformation initiatives.
Architect and implement end-to-end AI pipelines, including data ingestion, processing, model integration, and agent orchestration.
Build and optimize agentic workflows using LLMs, RAG architectures, APIs, and orchestration frameworks.
Integrate AI solutions with enterprise platforms, ERP systems, databases, APIs, and internal applications.
Develop reusable AI modules, automation frameworks, and prompt engineering standards to accelerate enterprise AI adoption.
Conduct rapid prototyping, experimentation, and proof-of-concept (POC) initiatives for emerging AI technologies and business use cases.
Monitor and continuously improve AI system performance, scalability, reliability, governance compliance, and operational effectiveness.
Evaluate emerging AI technologies, market trends, and adoption strategies to identify high-impact business opportunities.
Collaborate with business stakeholders, technical teams, and external vendors while contributing to AI governance, documentation, mentoring, and knowledge sharing.
Job Requirements :
Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Software Engineering, or related fields.
1–5 years experience in AI engineering, software engineering, automation engineering, or related digital solution roles.
Experience building AI/ML models, LLM-based applications, or automation workflows.
Hands-on experience with AI agent frameworks, APIs, and modern AI tooling is preferred.
Experience in start-up, innovation, or fast-paced project environments is an advantage.
Strong understanding of LLMs (Large Language Models), Agentic AI frameworks, Prompt engineering, Workflow automation, API integration, Python programming, AI orchestration platforms, Vector databases & RAG architecture.
Knowledge of AI & Cloud platforms, Enterprise system integration, AI governance, AI observability & monitoring, Data pipelines and automation architectures.
Familiarity with Multi-agent systems, AI copilots, Intelligent document processing, Conversational AI, AI-enhanced operational workflows.
"Our company has never levied any fees for the recruitment process nor has it required candidates to order tickets and accommodation through a certain travel agent or certain person."
PT SMART Tbk (SMART) / Sinar Mas Agribusiness and Food adalah salah satu perusahaan publik produk konsumen berbasis kelapa sawit yang terintegrasi dan terkemuka di Indonesia yang berkomitmen pada produksi minyak sawit yang berkelanjutan.
Perkebunan kelapa sawit SMART mencakup 137,000 hektar (termasuk plasma). Aktivitas utama kami adalah penanaman dan pemanenan pohon kelapa sawit, pengolahan tandan buah segar (TBS) menjadi minyak sawit (CPO) dan inti sawit, dan pemrosesan CPO menjadi produk bernilai tambah seperti minyak goreng, margarin, shortening, biodiesel dan oleokimia, serta perdagangan produk berbasis kelapa sawit ke seluruh dunia. SMART juga mengoperasikan 16 pabrik kelapa sawit, 4 pabrik pengolahan inti sawit dan 4 pabrik rafinasi di Indonesia.
Selain minyak curah dan industri, produk turunan SMART juga dipasarkan dengan berbagai merek seperti Filma dan Kunci Mas. Saat ini, merek-merek tersebut diakui kualitasnya dan memiliki pangsa pasar yang signifikan di segmennya masing-masing di Indonesia.
Didirikan tahun 1962, SMART tercatat sahamnya di Bursa Efek Indonesia sejak tahun 1992 dan berkantor pusat di Jakarta. Sebagai anak perusahaan dari Golden Agri-Resources (GAR), SMART juga mengelola kegiatan usaha di sektor oleokimia, dibawah Sinar Mas Oleochemical, SMART Research Institute (SMARTRI), dan SMART Biotechnology Centre sebagai bagian dari kegiatan operasionalnya.
