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AI Automation Engineer
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AI Automation Engineer
MICHAEL PAGE INTERNATIONAL RECRUITMENT (PHILIPPINES) INC.- Posted 9 hours ago
- Be among the first 10 applicants
Job Description
- Shape enterprise AI solutions with measurable business impact.
- Own end-to-end AI and automation projects in a global scale.
About Our Client
The organization is a global technology-driven business investing in AI and automation to improve efficiency, scalability, and decision-making across its operations. It fosters innovation while maintaining strong security, compliance, and governance standards for enterprise systems and data.
Job Description
- Design, develop, and deploy AI agents, workflow automations, and intelligent business solutions.
- Build integrations with enterprise platforms such as Microsoft 365, CRM systems, collaboration tools, and data platforms.
- Develop and enhance tools and services that provide secure access to business data for AI applications.
- Create prompts, agent workflows, retrieval solutions, and human-review checkpoints for critical business processes.
- Establish testing frameworks and evaluation methodologies to validate AI performance and reliability.
- Work closely with stakeholders to analyse business processes, identify bottlenecks, and define automation opportunities.
- Assess project feasibility, estimate effort, identify dependencies, and measure expected return on investment.
- Monitor production automations, troubleshoot issues, optimise costs, and improve solution performance.
- Track business benefits including productivity gains, cost reductions, and process improvements.
- Maintain comprehensive technical and operational documentation for all deployed solutions.
- Ensure all automation initiatives comply with security, privacy, and governance requirements.
- Support user adoption through training sessions, knowledge sharing, and best-practice guidance.
- Evaluate emerging AI technologies and recommend practical applications aligned with business needs.
The Successful Applicant
- Minimum 3 years experience in software development, systems integration, or automation delivery.
- At least 1 year of hands-on experience implementing production-grade LLM or generative AI solutions.
- Strong programming capability in Python and/or TypeScript.
- Experience working with LLM APIs, agent architectures, retrieval systems, prompt engineering, and structured outputs.
- Background using workflow automation platforms such as Windmill, n8n, Make, or similar technologies.
- Knowledge of REST APIs, webhooks, OAuth, and SaaS application integrations.
- Experience testing and evaluating AI outputs for quality, consistency, and accuracy.
- Familiarity with Git, CI/CD pipelines, and environment management practices.
- Strong stakeholder engagement and business requirements gathering skills.
- Good understanding of security principles, permissions management, and AI-related risks.
- Ability to collaborate effectively with global teams across multiple time zones.
- Exposure to MCP tools, Snowflake, Claude/Anthropic APIs, AWS, Kubernetes, SOC 2, PCI DSS, business analysis, or ROI modelling will be advantageous.
What's on Offer
- Full Remote Work Setup and Day Shift
- Opportunity to lead and deliver impactful enterprise AI and automation initiatives.
- Exposure to modern AI technologies, agent frameworks, and large-scale automation platforms.
- End-to-end ownership of solutions from discovery and development through to production support.
- Collaboration with global stakeholders across multiple business functions.
- Strong focus on innovation, experimentation, and continuous learning in AI.
- Opportunity to influence AI adoption and automation strategy across the organisation.
- Dynamic environment combining software engineering, business analysis, and emerging technologies.
- Work within a team committed to secure, governed, and measurable AI delivery.
Contact
Matt Mercado
Quote job ref
JN-102026-7122137
Phone number
+63 2 7795 2848
More Info
Key Skills
security principles
Claude
SOC 2
retrieval systems
structured outputs
permissions management
environment management practices
LLM APIs
Windmill
AI-related risks
MCP tools
SaaS application integrations
n8n
workflow automation platforms
Anthropic APIs
prompt engineering
webhooks
CI CD pipelines
agent architectures
About Company
Skills:
Uipath, Json, Typescript, Javascript, Automation Anywhere, Docker, Python, AWS, Apis, Power Automate, Sql, Gcp, Rest Apis, Azure, automation platforms, n8n, LLMs, make, Zapier, webhooks, AI agents, LangChain, LangGraph, RAG embeddings, MCP Model Context Protocol, vector databases, LlamaIndex
Skills:
data engineering , Machine Learning, Apis, Artificial Intelligence, Natural Language Processing, Microservices, Javascript, Advanced Analytics, Python, Workflow Orchestration, Cloud Platforms, Conversational AI, Automation Engineering
Skills:
Databases, Web Scraping, Apis, PostgreSQL, Http, Json, Linux Servers, Git, Technical Documentation, Docker, Debugging, n8n, marketing technology, basic security and credentials management, Claude Code, OpenAI Codex, CI CD, Crm Systems, LLM APIs, modern AI-assisted development tools, system integrations, Troubleshooting, AI agents
Skills:
webhook and API integrations, AI LLM APIs
Skills:
Oauth, Javascript, Airtable, Python, n8n workflows, Claude Code, make, Zapier, AI integration, webhooks, event-driven architecture, Notion, Supabase