Top Artificial Intelligence Jobs in the Philippines

Design and build AI-enabled backend services and scalable microservices in Python/Java. Integrate, productionize and monitor ML models, own the full development lifecycle and L3 support, collaborate with Data Science, standardize MLOps pipelines, and mentor junior engineers.

Design, build, and operate AI/ML production platforms and scalable backend microservices using Python/Java. Integrate, deploy, monitor, and optimize ML models; own full development lifecycle and L3 support; drive MLOps, cloud infrastructure, CI/CD, documentation, and mentor junior engineers.

Lead AI PoC efforts across business units: identify and prioritize use cases, define scope and success metrics, coordinate execution with data/IT/vendors, validate business impact, and transition validated solutions into production with governance and stakeholder alignment.

Manage social media strategies across multiple brands, produce AI-enhanced content, engage communities, and deliver performance analytics.

Lead strategy, design, and deployment of in-house generative AI systems for marketing and content. Build and scale private LLMs, RAG pipelines, and privacy-first integrations while ensuring compliance and cross-functional adoption to improve content production efficiency and quality.

Lead strategy, development, and deployment of privacy-first, in-house generative AI tools for marketing and content. Design, fine-tune, and scale LLM and RAG systems, integrate AI into workflows, and enforce data governance and compliance across marketing, product, and engineering teams.

Lead strategy, design, and deploy secure in-house generative AI systems for marketing and creative content. Build, fine-tune, and scale private LLMs and RAG pipelines, ensure data governance and compliance for sensitive/adult content, and integrate AI tools into cross-functional workflows with marketing, product, and engineering teams.

As a Senior AI Engineer, you'll design and deliver scalable AI solutions, lead LLM integration, and mentor engineers while ensuring performance, reliability, and quality compliance.

Design and deploy practical AI systems for the FinTech team, write Python/SQL to extract insights, build agentic AI workflows to automate financial processes, orchestrate data and connect systems with tools like n8n, and upskill teammates on AI tools.

The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.

The AI Software Engineer will design, develop, and maintain AI software solutions for industrial automation, ensuring backend and frontend integration, and contributing to CI/CD processes. Collaboration with global teams and maintaining documentation is key to aligning technical solutions with business goals.

Drive end-to-end design and development of AI solutions, focusing on performance, reliability, and technical leadership in AI engineering.

The Engineer II will develop, maintain, and enhance RPA solutions while collaborating with teams to streamline business operations.

The AI Application Developer designs and develops AI solutions using LLMs and RAG. Responsibilities include optimizing model performance, implementing decision logic, and building scalable applications.

The Recruitment Assistant will source qualified candidates on LinkedIn, utilize AI tools for resume evaluation, and draft personalized outreach messages.

Develop and maintain WordPress websites, integrate APIs, and create AI-driven solutions using tools like OpenAI and n8n.

Lead strategy and deployment of in-house generative AI for marketing and content. Build, fine-tune, and scale privacy-first LLMs and RAG systems, integrate AI workflows, and ensure compliance and data governance while collaborating with marketing, product, and engineering teams.

Lead design, deployment, and scaling of in-house generative AI systems for marketing and content. Build secure, privacy-first LLM pipelines, integrate AI tools into workflows, and ensure compliance and data governance while collaborating with marketing, product, and engineering.

Lead strategy, build and deploy secure in-house generative AI tools for marketing and content. Design, scale, and integrate LLM-based workflows, ensure privacy-first data governance, and collaborate with marketing, product, and engineering to meet business needs.

Lead the product vision and strategy for an AI sales tech product, collaborating with design and engineering teams to enhance sales processes and deliver a competitive, user-focused product.

This internship involves developing AI-driven solutions, testing features with LLMs, building prototypes, collaborating with engineers, and exploring AI capabilities.

The AI Chatbot Developer will design and implement AI solutions using Google CCAI and Dialogflow, providing support and integrating systems for enterprise contact centers.

Lead regional adoption of AI-driven video production: design AI-led strategy, standardize workflows, identify and test tools, train local teams, optimize productivity KPIs, and scale high-quality ecommerce and social commerce video content across Southeast Asia.

The AI-Enhanced Virtual Assistant will support AI integration, administrative tasks, communication management, project coordination, and client interaction to enhance operational efficiency.

The Performance Test Engineer will design and execute performance testing strategies, develop scripts, analyze performance metrics, and work with various teams to ensure system scalability and resilience.