Overview of the RoleThe AI Integration Engineer is responsible for integrating data from multiple sources, automating workflows, and developing AI-driven solutions using Python, Google Cloud, and modern LLM technologies. The role focuses on preparing organizational data for AI applications, building backend services when needed, and enabling future RAG and agentic capabilities.Main duties include:
AI and Data Integration
Build ingestion pipelines from various data sources
Clean and transform data using Python and Pandas
Normalize structured and unstructured data for AI use
Implement vector indexing and similarity search using OpenAI, Vertex AI, or other embedding models
Cloud Automation
Implement workflows using Cloud Functions, Cloud Run, Cloud Scheduler, and Pub/Sub
Manage data storage and retrieval through BigQuery and Cloud Storage
Configure service accounts, IAM roles, and environment variables
Backend Engineering
Develop and maintain internal services and APIs
Integrate backend functions with AI models and automation workflows
Implement authentication using OAuth2, JWT, or Google Identity
AI Search and RAG Foundations
Build semantic search layers across company data
Prepare pipelines for Retrieval-Augmented Generation
Assist in prototyping agentic workflows, such as document processors and AI assistants
Documentation and Code Quality
Write clean and maintainable code
Maintain documentation for pipelines, APIs, and automation workflows
Implement basic testing for reliability
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
3+ years in a technical role involving backend, data engineering, automation, or AI
Strong Python skills, including Pandas
Experience with Google Cloud Platform
Experience integrating data from APIs, files, documents, and other data sources
Solid understanding of SQL and cloud data warehouses such as BigQuery
Familiarity with LLM APIs such as OpenAI or Vertex AI
Experience with FastAPI, Flask, or Node.js
Knowledge of vector databases and semantic search
Familiarity with Git, CI/CD, and Docker
Understanding of agentic workflows or orchestration tools
Strong problem-solving skills
Ability to work independently and learn quickly
Effective communication and collaboration
Benefits
500K per incident HMO coverage + Dental & Optical Benefits
2 weeks of Christmas vacation
Fixed Schedule of Mon-Fri from 7 AM to 4 PM
Solid professional & development training programs
25K Educational Assistance
Referral bonuses
VBP
AI and Data Integration
Build ingestion pipelines from various data sources
Clean and transform data using Python and Pandas
Normalize structured and unstructured data for AI use
Implement vector indexing and similarity search using OpenAI, Vertex AI, or other embedding models
Cloud Automation
Implement workflows using Cloud Functions, Cloud Run, Cloud Scheduler, and Pub/Sub
Manage data storage and retrieval through BigQuery and Cloud Storage
Configure service accounts, IAM roles, and environment variables
Backend Engineering
Develop and maintain internal services and APIs
Integrate backend functions with AI models and automation workflows
Implement authentication using OAuth2, JWT, or Google Identity
AI Search and RAG Foundations
Build semantic search layers across company data
Prepare pipelines for Retrieval-Augmented Generation
Assist in prototyping agentic workflows, such as document processors and AI assistants
Documentation and Code Quality
Write clean and maintainable code
Maintain documentation for pipelines, APIs, and automation workflows
Implement basic testing for reliability
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
3+ years in a technical role involving backend, data engineering, automation, or AI
Strong Python skills, including Pandas
Experience with Google Cloud Platform
Experience integrating data from APIs, files, documents, and other data sources
Solid understanding of SQL and cloud data warehouses such as BigQuery
Familiarity with LLM APIs such as OpenAI or Vertex AI
Experience with FastAPI, Flask, or Node.js
Knowledge of vector databases and semantic search
Familiarity with Git, CI/CD, and Docker
Understanding of agentic workflows or orchestration tools
Strong problem-solving skills
Ability to work independently and learn quickly
Effective communication and collaboration
Benefits
500K per incident HMO coverage + Dental & Optical Benefits
2 weeks of Christmas vacation
Fixed Schedule of Mon-Fri from 7 AM to 4 PM
Solid professional & development training programs
25K Educational Assistance
Referral bonuses
VBP
Other Info
Cebu City, Cebu
Permanent
Full-time
Permanent
Full-time
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VBP
About the company
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