Top Artificial Intelligence Jobs in Quezon City

Support Central Operations by evaluating, implementing, and maintaining AI-driven automations and low-code tooling (e.g., Zapier). Build unified dashboards to track AI agent performance, drive internal adoption, document automations, run LLM evaluation/monitoring for human-in-the-loop workflows, and collaborate with product, engineering, and ops to reduce manual work and improve reporting.

Support Central Operations by evaluating, implementing, and maintaining AI agents and low/no-code automations (e.g., Zapier). Build unified dashboards to track AI agent performance, reduce manual work, document automations, run LLM evaluation/monitoring, train stakeholders, and provide feedback to align AI with business workflows.

The AI Architect collaborates with stakeholders on AI initiatives, evaluates emerging technologies, and leads architectural reviews to ensure compliance and scalability.

The AI Specialist builds and tests AI prototypes, experiments with emerging tools, conducts evaluations, and collaborates to transition prototypes into scalable models while documenting insights and technical findings.

Provide direct executive support to the founder while designing, building, and maintaining AI agents and automations. Handle day-to-day operations, bookkeeping coordination, legal/compliance research, calendar and inbox management, documentation, and cross-functional coordination to reduce manual work and improve founder productivity.

The Back-End Developer will design, build, and maintain AI-driven server-side applications, integrating AI/ML models and collaborating with teams to optimize performance and ensure data security.

Lead a team designing, delivering, and scaling AI and automation solutions across Azure and Microsoft 365. Manage hybrid identity, Azure operations, M365 administration, security/compliance, on-prem servers, vendor relations, and AI strategy (Copilot, OpenAI, Cognitive Services). Oversee governance, POCs, and enterprise adoption while providing L2/3 support and project delivery.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

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.

Manage and optimize WordPress sites, implement AI-driven automations and integrations, build workflows and AI agents, improve SEO and technical performance, monitor analytics, and produce reports to drive growth and efficiency.

Part-time remote role to configure and optimize GoHighLevel CRM, build automations and AI-driven workflows, manage WordPress site, implement SEO, support paid campaigns, and integrate AI tools (Claude, ChatGPT) to streamline processes and improve lead conversion while working closely with the founder.

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.

The role involves watching short video clips and providing engaging, detailed descriptions to enhance content accessibility and optimization.

As a Forward Deployed Engineer, you will collaborate with customers, develop integrations and AI solutions, and optimize data flow within the platform, while also guiding technical adoption and ensuring alignment across teams.

Build and maintain Python/FastAPI backend services and APIs, implement React frontend components, integrate MongoDB and AWS, collaborate via GitHub, participate in agile sprint planning, and work with AI and product teams to improve scalability and reliability.

Outbound-focused SDR role selling AI SaaS: prospect via calls, email, and LinkedIn; qualify leads, engage decision-makers, book demos for AEs; maintain CRM records and meet monthly KPIs while collaborating with marketing and sales.

Perform outbound prospecting (calls, email, LinkedIn) to identify and qualify B2B AI SaaS leads, book meetings for AEs, maintain CRM, meet KPIs, and collaborate with sales and marketing to optimize outreach.

Lead design and implementation of scalable automation systems and integrations using GoHighLevel and tools like n8n/Make/Zapier. Build workflows for lead generation, nurturing, content creation, and sales pipelines; integrate CRMs with email, calendars, payments, and project tools. Maintain documentation (SOPs), advise clients, provide technical support, and own internal automation infrastructure to ensure reliability, scalability, and clear communication with non-technical stakeholders.

Design, develop, and deploy ML models and LLM-based applications; implement RAG and vector database pipelines; fine-tune models, optimize inference and scalability; build REST APIs and backend integrations; monitor AI system performance; collaborate cross-functionally and stay current with AI advancements.

Lead high-volume outbound prospecting, run discovery calls, qualify and manage high-ticket opportunities through the full sales cycle, book and conduct meetings, handle objections, collaborate with founders/sales leadership, and consistently meet outreach, meeting, and revenue KPIs.

Design, build, and optimize GoHighLevel automations and AI-driven workflows across client accounts. Rigorously test automations, document SOPs, manage multiple projects, collaborate with teams and clients, and improve systems for scalability, efficiency, and performance.

Design, develop, and deploy AI-powered automation systems using Claude Code and n8n. Build scalable workflows and pipelines, prototype with the CTO, troubleshoot and optimize automations, document processes, and work directly with clients to gather requirements and recommend solutions that improve operational efficiency.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Design, build, and scale AI-driven automation and CRM systems using GoHighLevel and tools like n8n/Make/Zapier. Integrate platforms via APIs and webhooks, create multi-step workflows for lead gen, sales, and operations, maintain internal infrastructure, troubleshoot deployments, and produce SOPs and client-facing documentation.

Design, build, and deploy AI-powered automation workflows using LLM APIs and workflow tools (n8n, Zapier, Go High Level). Integrate APIs/webhooks, debug and optimize workflows, and evolve internal scalable AI infrastructure. Collaborate with operations to gather requirements and iterate, while researching new AI tools and improving system reliability.