AI Engineering Jobs in Philippines
There are 142 open AI Engineering jobs in Philippines on freehire right now. 28 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Most requested skills
- ai 89%
- llm 60%
- python 54%
- api 51%
- cloud 48%
- agentic-ai 41%
- machine-learning 41%
- azure 36%
How the work is done
- Remote 25 · 18%
- Hybrid 9 · 6%
- Onsite 1 · 1%
Visa sponsorship offered in 0% of the 3 postings that state a position on it.
Seniority
- Senior 40
- Lead 5
- Junior 3
- Intern 2
- Principal 2
- C-level 1
Who is hiring
- 1000+ employees 17
- 501-1000 employees 11
- 51-200 employees 5
Senior AI Engineer
Build and deploy enterprise-grade AI systems in Python/.NET, focusing on generative AI, RAG, and cloud-native AWS architectures while ensuring security and observability.
Agentic AI Engineer
Build AI-powered integrations and agent-driven workflows using TypeScript and LLMs to automate data collection and orchestration across systems.
AI/LLM Software Engineer - Expression of Interest
Build and deploy AI systems using LLMs to automate enterprise processes, including agentic solutions and evaluation frameworks for reliability.
Senior AI Engineer (Agentic AI)
Build and deploy enterprise-grade autonomous AI agents using LLMs, orchestration frameworks, and vector databases in Azure to power resilient workflows and RAG systems.
AI Engineer
Design and build end-to-end agentic AI systems for industrial and water-treatment operations, focusing on reliability, safety, and continuous deployment.
FBS AI Automation Engineer (Remote)
Senior AI & Automation Engineer designs and implements AI-driven solutions, evaluates vendors, and leads proofs of concept to improve business efficiency and innovation.
Senior AI Engineer — Enterprise AI & Multi-Agent Systems
Design and deploy enterprise AI systems, including multi-agent architectures and RAG pipelines, integrating LLMs with SAP and internal tools to drive logistics innovation.
AI Engineer II
Build and deploy AI-powered apps using LLMs, RAG pipelines, and Azure AI services. Engineer conversational agents, intelligent search tools, and enterprise integrations in a hybrid role.
AI Engineer
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
AI ENGINEER
Build and deploy AI agents and workflows that automate tasks, integrate LLM APIs, and ship production features end-to-end.
Generative AI Architect (Databricks & Agentic AI)
Design and govern end-to-end enterprise GenAI architectures on Databricks, integrating LLMs, vector search, and agentic workflows with Python and Azure.
Senior AI Automation Engineer
Leads quality engineering for an enterprise AI platform, building test frameworks for Agentic AI workflows and LLM-based systems using Python, Java, and modern CI/CD stacks.
Remote Part-Time Data & AI Engineer — Build AI Automations
Builds Python data pipelines, AI automations, and React/Django/FastAPI features for a startup, working during EST hours.
Remote NetSuite AI Software Engineer
Build and enhance NetSuite SuiteApps for invoice data capture and approvals automation using SuiteCloud.
AI Automation Engineer (Operations & Workflow Systems)
Design and deploy AI-powered automation workflows using n8n and Claude Code to streamline executive operations like scheduling, inbox management, and coordination.
Digital Twin & Spatial AI Engineer
Builds AI models for spatial navigation by annotating 3D LiDAR data and synthetic environments to create digital twins of hospitals, cities, and industrial sites.
Senior AI Automation Engineer — AI Testing & Orchestration
Builds and maintains automated testing frameworks for AI agents and LLM-based systems using Playwright and CI/CD, validating workflows on AWS Bedrock and vector databases.
AI Engineer (Generative AI | RAG | AI Agents)
Build production-ready enterprise AI apps using LLMs, RAG, and AI agents with Python, FastAPI, and cloud platforms to automate workflows and unlock business knowledge.
Senior Cloud Data & AI Engineer (Java)
Designs, builds, and operates cloud-native data pipelines and AI systems on AWS and Snowflake, ensuring scalable, secure production deployments.