Top Artificial Intelligence Jobs in the Philippines

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Define and track AI feature success metrics, design and analyze experiments (A/B tests), build AI prototypes, explore data to inform product decisions, create dashboards, improve model interpretability and fairness, and collaborate with product and engineering teams to align models with product goals.

Design polished, mobile-first interfaces and prototypes for BJAK's AI and financial products. Translate requirements into wireframes, flows, and high-fidelity UI; maintain the design system; collaborate with PMs and engineers; iterate using feedback, analytics and testing; ensure accessibility, responsiveness and visual consistency.

Lead AI-driven QA strategy and implementation, build AI-enhanced test automation and self-healing frameworks, integrate CI/CD and cloud-native testing, drive agile/DevOps transformation, champion quality culture, and mentor QA teams in AI testing practices.

Lead and coach an Agile squad to deliver production-grade AI solutions. Facilitate Scrum ceremonies, remove impediments, track sprint metrics, ensure backlog readiness, manage risks and dependencies, and coordinate releases while promoting DevOps, automation, and AI-enabled development practices.

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

As an AI Image Generation Specialist, you'll enhance and generate images using Photoshop and AI tools while editing photos for global clients and supporting Snappr's growth.

Develop and maintain .NET Core/.NET 6 applications, design APIs and services, integrate AI/LLM capabilities (OpenAI, Anthropic, Azure OpenAI), use AI coding assistants, write tests, follow CI/CD and engineering best practices, and collaborate with product and engineering teams remotely.

Own post-sale AI customer journey: lead multiple AI implementation projects, manage timelines and risks, coordinate engineering/data teams, drive customer relationships, identify expansion opportunities, and improve delivery processes and playbooks.

Design, develop, fine-tune, deploy, and monitor generative AI and ML models; build data pipelines and integrations; implement automation and agentic systems using tools like LangChain and REST APIs; evaluate emerging AI tools; collaborate with cross-functional teams and mentor junior engineers.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Build and productionize agentic AI workflows for enterprise accounting. Design prompts, evaluations, and model interfaces; integrate AI into product and infrastructure; ensure reliability and scalability of AI-driven financial systems.

Lead the development and scaling of core AI agent systems for enterprise accounting automation, engaging with stakeholders, and solving complex system challenges.

As a Data Encoder, you'll structure, label, and QA data for training and analytics while meeting quality and throughput targets. This role requires proficiency in AI tools and strong attention to detail.

This role involves leading pre-sales engagements, designing scalable solutions for customers, and evaluating ML model performance to enhance training efficiency.

Guide customers in deploying and optimizing DatologyAI's platform across various environments, ensuring technical success while collaborating with Sales and Engineering.

The NICE AI Senior Consultant develops, tests, and delivers the NICE CXone AI software platform, focusing on implementing AI solutions and improving software features.

Perform structured evaluations of AI chatbots and language models in Filipino via written and voice interactions. Submit ratings, write-ups, screenshots, or recordings per task instructions. Work is task-based, freelance, flexible hours, and requires passing language and technical assessments and completing identity verification.

As an AI Full-Stack Engineering Intern, you will build features for video management systems, work on vehicle detection pipelines, and develop real-time alert systems while collaborating with the founding team.

Build and ship production AI systems for a neobank: AI agents, RAG/LLM apps, tool-calling, automations and copilots for onboarding, KYC, support, risk, CRM and operations, while designing for accuracy, cost, latency, security and compliance.

Lead and execute a citizen developer community strategy: build relationships, advocate member needs, run events and communications, coach citizen developers on automation/AI, manage online platforms, and monitor community metrics to drive engagement and process transformation.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

Develop and optimize backend architecture for a multi-brain AI trading system. Design and implement AI/ML models and workflows, integrate blockchain and smart contracts, build and maintain APIs, databases, and cloud infrastructure, perform code review, testing, debugging and performance optimization, and ensure security, data integrity, and production readiness.

As AI Operations Manager, you'll manage and grow a team of editors, utilizing data analytics to improve productivity and ensure quality in image editing.

As an AI Software Engineer, spearhead the development of a voice tool, engage in full lifecycle development, design APIs, and improve processes while ensuring quality and collaboration.