Top Artificial Intelligence Jobs in Davao City

Design, build, and deploy secure, production-grade AI applications using large language models, agent systems, retrieval-augmented generation, and advanced analytics. Develop prompts, evaluations, guardrails, monitoring, tests, and observability to improve reliability and performance. Integrate cloud services, databases, APIs, and data sources while collaborating with product, engineering, governance, and risk stakeholders. Document architectures, troubleshoot production issues, and establish reusable engineering practices.

Leads multiple technical sales teams in the Philippines, driving AI and cloud transformation initiatives, pipeline and forecast accuracy, revenue growth, customer and partner engagement, competitive strategy, and sales execution. Manages organizational resources, coaches sales specialists, develops talent and succession plans, promotes technology-enabled selling, and aligns Microsoft solutions with customer business outcomes and market opportunities.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Reviews and creates AI-generated images, videos, voices, scripts, captions, and product content for accuracy, realism, quality, and brand consistency. Tracks content through production, revisions, approval, publication, and client delivery while documenting issues and coordinating with cross-functional teams to meet deadlines and quality standards.

Own enterprise accounts in the Philippines while based in Singapore, driving new logo acquisition and expansion revenue. Lead complex sales cycles with technical and business stakeholders, demonstrate AI-powered developer tools, guide evaluations and rollouts, build executive relationships, quantify ROI, generate outbound pipeline, and provide customer feedback to influence product direction.

Edits and fact-checks AI-generated SEO content for Study.com’s College Saver and Test Prep products. Optimizes articles for traditional search and AI citation readiness using AEO, GEO, search intent, metadata, internal linking, structured content, and readability practices. Verifies product and educational claims, updates outdated information, maintains editorial standards, audits published content, identifies recurring AI-draft issues, and manages multiple deadlines within an editorial workflow.

Designs and leads Azure AI and TokenOps architectures across Asian markets. Responsibilities include customer workshops, pilots, agent and RAG architecture, model routing and evaluation, observability, FinOps unit economics, enterprise integration, security, Responsible AI, and regulatory compliance. The role coordinates customers, partners, Microsoft stakeholders, and regional delivery teams while creating reusable, locally adaptable architecture and delivery patterns.

Creates and publishes marketplace content for Amazon, Walmart, Wayfair, and other e-commerce platforms. Develops storyboards, product imagery, infographics, videos, A+ Content, Brand Story modules, and AI-assisted visuals while maintaining product accuracy and brand consistency. Manages 3D visualization and Amazon AR publishing workflows, performs quality assurance, verifies live listings, and coordinates assets, approvals, and deadlines using Microsoft 365. Requires independent research, strong English communication, Adobe Photoshop proficiency, marketplace publishing experience, and at least five years of relevant experience.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Drive new business and expansion across mid-market accounts in the Philippines. Build territory plans, generate pipeline, close deals, develop partner relationships, cross-sell and upsell existing customers, deliver forecasts, present technical solutions, and use AI-assisted sales tools to improve qualification and accuracy.

Review and rate graphic design samples for typography, composition, color, layout, visual hierarchy, execution, and polish. Apply detailed rubrics consistently, identify flaws, edit slides using reference designs, and flag unclear cases. This fully remote, project-based opportunity supports AI training and requires sustained attention during repetitive evaluation tasks. Designers must follow feedback and recalibration guidance rather than create original designs.

Build and implement AI-powered automations across Nucleus Network, focusing initially on CRM, relationship data, enrichment, lead scoring, introductions, and follow-ups. Map business processes, identify automation opportunities, connect platforms through APIs and workflows, develop lightweight tools and dashboards, and maintain reliable systems. The role also requires testing, documentation, stakeholder training, adoption support, and responsible AI practices across Advisory, Ventures, Community, and internal operations.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Provides administrative and virtual assistant support while improving business productivity through AI and automation. Responsibilities include managing communications, calendars, files, CRM processes, research, and reporting; identifying repetitive workflows; creating and troubleshooting automations; developing prompts, SOPs, and documentation; training team members; and recommending process improvements. The role supports leadership and cross-functional teams while managing AI tools, business applications, and operational projects.

Build and deploy production AI automations across accounting, compliance, sales, marketing, HR, and finance. The role covers discovery, coding, deployment, monitoring, debugging, support, ROI measurement, and business handover. The engineer will develop LLM-based systems, integrations, agents, and workflows using Python, APIs, databases, warehouses, and business tools. They will partner with non-technical stakeholders, independently own systems end to end, train business users, maintain infrastructure, and identify high-value automation opportunities.

Perform image segmentation and object labeling using polygons, bounding boxes, and semantic segmentation. Annotate datasets involving roads, vehicles, satellite imagery, blueprints, and roofing while meeting accuracy and productivity targets. Follow QA guidelines, collaborate with team leads to resolve unclear tasks, and suggest workflow improvements. The role includes structured remote training and is suitable for candidates with basic computer skills and no prior annotation experience.

Generate qualified sales opportunities for AI and B2B SaaS clients through outbound calling, email, LinkedIn outreach, and social selling. Responsibilities include lead qualification, market research, meeting and demo scheduling, CRM and pipeline management, prospect follow-up, sales collaboration, and achieving activity and opportunity KPIs. The role requires strong SaaS sales knowledge, executive communication, objection handling, organization, and independent remote work capabilities.

Bridges business needs and AI solutions by gathering requirements, assessing AI and automation opportunities, developing business cases, supporting solution design and delivery, facilitating stakeholder collaboration, assisting testing and implementation, and tracking project outcomes, benefits, reports, and continuous improvement initiatives.

Leads operational oversight for AI-powered products and platforms, monitoring performance, developing dashboards, analyzing business outcomes, and driving process improvement. The role supports AI governance, risk management, compliance, operational standards, forecasting, and scalable operating models. It also partners with engineering, product, and business stakeholders to deliver operational excellence and present strategic recommendations.

Leads the strategy, roadmap, delivery, and continuous improvement of AI-powered products. Defines product vision, requirements, priorities, metrics, and success criteria while collaborating with executives, engineering, AI, data science, and business teams. Oversees product launches, adoption, performance optimization, stakeholder communication, and responsible AI governance. Requires strong product management, analytical, commercial, Agile, executive communication, and cross-functional leadership skills.

Supports responsible AI governance through framework development, risk and impact assessments, fairness and transparency reviews, regulatory compliance, documentation, stakeholder advisory, training, and continuous improvement. The role collaborates with technical, legal, compliance, risk, and business teams to promote ethical, accountable, and trustworthy AI adoption.

Supports the day-to-day operation, monitoring, reporting, governance, and continuous improvement of AI-powered platforms. Analyzes performance metrics, identifies operational issues and optimization opportunities, develops dashboards and reports, maintains procedures and documentation, and coordinates issue resolution across AI engineers, product teams, operations leaders, and business stakeholders. The role also supports AI adoption, compliance, risk mitigation, and operational standards.

Evaluates AI chatbot functionality, response quality, accuracy, compliance, and conversational effectiveness. Executes test plans, regression testing, and user acceptance testing; documents defects and test results; analyzes conversation flows and recurring issues; collaborates with AI trainers, prompt engineers, and development teams; prepares performance reports; and supports chatbot optimization, testing standards, and evaluation framework improvements.

Build and scale customer-facing and internal web applications for an AI-powered eCommerce customer service platform. Develop and enhance AI agents, integrate eCommerce platforms, apply privacy and security practices, and help shape the product’s technical direction. As the founding technology team member, the role offers significant ownership, equity, and potential progression into technical leadership.