Lead AI Engineer | Work from Office | Mid Shift
Lead AI Engineer at Cloudstaff, an outsourcing/talent-solutions firm, working on-site in Angeles City (mid shift). A hands-on technical lead who architects AI-driven automation: API integrations across Sage 200, Joblogic, Pipedrive and Microsoft 365, plus ML model development, MLOps and backend services, primarily in Python.
- Compensation
- Not disclosed
- Location
- Angeles City, Pampanga
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Strong experience in API design and integration (REST, webhooks, authentication, rate limiting)
- Solid background in machine learning engineering (model development, evaluation, deployment)
- Experience building automation pipelines and orchestration layers
- Proficiency in Python (primary) and/or JavaScript/TypeScript
- Experience with databases and data pipelines (SQL, NoSQL)
- Familiarity with cloud infrastructure (AWS, Azure, or GCP)
- Experience integrating with Microsoft Graph API and Excel-based workflows
- Experience with ERP and CRM platforms
- Knowledge of MLOps practices (CI/CD for models, monitoring, retraining)
- Experience with message queues, background workers, or workflow engines
Nice to have
- Exposure to computer vision or unstructured data processing
- Familiarity with low-code automation tools where appropriate
Full description
We’re Hiring: Lead AI Engineer
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Role: Lead AI Engineer
Work Arrangement: Work from Office
Location: Philippines - Pampanga
Schedule: Mid Shift
Job Description:
We are seeking an Automation Lead to architect, build, and operate AI-driven systems and automation workflows across multiple business platforms. This role is highly technical and hands-on, with responsibility for API-based system integration, AI model development and deployment, and automation at scale across ERP, CRM, and Microsoft 365 environments.
You will define technical architecture, select tooling, and lead implementation of production-grade AI and automation solutions.
Core Responsibilities
- Architect and implement API integrations between systems including Sage 200, Joblogic, and Pipedrive
- Design and deploy AI/ML models for data extraction, classification, forecasting, and decision support
- Build event-driven and scheduled automation workflows across integrated systems
- Integrate services with Microsoft 365 (Excel, SharePoint, OneDrive, Teams) using APIs and automation frameworks
- Develop scalable backend services to support AI inference and workflow orchestration
- Own the full ML lifecycle: data ingestion, training, validation, deployment, monitoring, and iteration
- Ensure system reliability, security, and performance across all integrations
- Produce technical documentation covering architecture, APIs, and model behaviour
Qualifications and requirements:
- Strong experience in API design and integration (REST, webhooks, authentication, rate limiting)
- Solid background in machine learning engineering (model development, evaluation, deployment)
- Experience building automation pipelines and orchestration layers
- Proficiency in Python (primary) and/or