Golden Agri-Resources (GAR) Logo

Golden Agri-Resources (GAR)

Agentic AI Engineer / Specialist

Reposted 2 Months Ago
Be an Early Applicant
In-Office
Singapore, SGP
Mid level
In-Office
Singapore, SGP
Mid level
Design, build, and deploy agentic AI solutions and co-pilots: architect end-to-end AI pipelines, implement LLM- and RAG-based agent workflows, integrate with enterprise systems, prototype POCs, and ensure performance, reliability, governance, and stakeholder collaboration.
The summary above was generated by AI
Job Description

• Design, develop, and deploy AI agents, co-pilots, 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.

Required Qualification(s)

Responsibilities and Skills

Education

Language(s)

HQ

Golden Agri-Resources (GAR) Singapore, Singapore, SGP Office

Singapore, Singapore

Similar Jobs

20 Days Ago
In-Office
Singapore, SGP
Entry level
Entry level
Security • Software
Develop, train, evaluate, optimize, and deploy machine learning and deep learning algorithms for intelligent surveillance products. Responsibilities include data preprocessing, feature engineering, labeling coordination, model innovation, algorithm integration, research into emerging AI technologies, and documentation. The role covers audio and video algorithms such as detection, feature extraction, tracking, and recognition, with collaboration across technical teams.
Top Skills: ArmCC++CaffeCnnCpuDspGpuLstmMxnetNpuPythonPyTorchRnnTensorFlowTransformerVit
Yesterday
Remote or Hybrid
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.
Top Skills: Ai GovernanceAiqasAirifArtificial IntelligenceComputerized SystemsGxpImexLeanMachine LearningSix Sigma
Yesterday
In-Office
Singapore, SGP
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Operate and engineer database systems supporting manufacturing and engineering. Responsibilities include installation, upgrades, patching, access management, backups, performance tuning, monitoring, incident resolution, disaster recovery, capacity planning, reporting, automation, and business continuity. The role provides on-call support, collaborates with customers on database requirements, improves operational reliability, and evaluates emerging database technologies and AI-assisted tools.
Top Skills: Ai-Assisted ToolsDatabase MonitoringDatabase SystemsDisaster RecoveryFailover TestingJavaLinuxMicrosoft Sql ServerOracle DatabasePowershellPythonSQLWindows

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account