AI Automation Engineer, Developer

🕒 May 21

🇵🇭 Philippines – Remote

💵 ₱80k - ₱90k / month

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 QA Automation Engineer

👻 Ghost score 2%

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Logo of Adventus

Adventus

201 - 500 employees

🔒 Cybersecurity

Cybersecurity

Adventus is an Information and Communications Technology (ICT) Solutions and Services Provider that delivers a variety of IT innovations aimed at transforming businesses across Asia. With a comprehensive range of specialties that include managed IT services, data center management, cloud solutions, cyber security, and more, Adventus works to help organizations leverage technology to gain competitive advantages in a global marketplace. The company prides itself on its strong partnerships, domain expertise, and ability to exceed customer expectations through tailored technological solutions.

📋 Description

• Design, develop, and deploy AI agents to automate business processes and operational workflows. • Build integrations between AI agents and enterprise platforms. • Develop AI-powered solutions for workflow orchestration, ticket triaging, knowledge retrieval, reporting, and process automation. • Create and maintain APIs, automation scripts, and cloud-based AI services. • Implement prompt engineering, RAG pipelines, tool integrations, and multi-agent workflows. • Collaborate with business and IT stakeholders to identify and implement automation opportunities. • Ensure AI solutions meet security, governance, and compliance standards. • Monitor, optimize, and maintain AI agent performance and reliability.

🎯 Requirements

• Degree in Computer Science, Software Engineering, AI, or related field. • 2-5 years of experience in software engineering, automation, or AI application development. • Strong programming skills in Python, JavaScript, or C#. • Strong analytical, problem-solving, and stakeholder communication skills. • Demonstrates an AI experimentation mindset with the ability to prototype, test, and refine AI-driven workflow automation solutions. • Hands-on experience with AI/LLM frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or similar. • Proven experience delivering production-grade AI or automation solutions. • Experience integrating with enterprise systems such as Microsoft Dynamics 365, SAP, and ServiceNow. • Good understanding of AI governance, security, and enterprise compliance practices. • Experience with enterprise AI copilots, workflow automation, or cloud platforms is highly preferred.

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