Agentic AI Engineer / Specialist

Key Responsibilities:

• 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.

Job Requirements:

• Possess a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Software Engineering, or related fields.
• Preference given to candidates with certifications or specialization in:

o Artificial Intelligence

o Machine Learning

o Cloud Platforms

o Automation Technologies

o Enterprise Architecture

o Data Engineering

• 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
• Strong analytical and problem-solving capabilities
• Ability to design scalable and modular systems
• Ability to rapidly prototype and iterate solutions
• Innovation-oriented mindset with strong learning agility
• Strong initiative and ownership mentality
• Ability to work effectively in fast-paced and evolving environments
• Ability to balance experimentation with operational reliability
• Business-oriented mindset with a focus on delivering practical value
• Excellent communication and collaboration skills - able to engage effectively across teams and stakeholders; fluency in English required, proficiency in Bahasa Indonesia is a strong advantage.