Top Artificial Intelligence Jobs in Davao City

Design, build, test, document, deploy, and improve AI-first business automations across CRM, HR, Sales, Marketing, Customer Success, and Operations using no-code/low-code platforms, APIs, webhooks, and AI agents to increase efficiency, accuracy, scalability, and user experience.

Write conversion-focused copy across websites, landing pages, email, ads, product launches, and educational content using AI-assisted workflows. Improve headlines, CTAs, readability, customer messaging, and conversion rates. Collaborate cross-functionally, analyze performance, refine brand voice, and continuously optimize AI-driven content processes.

Lead visual design across product, marketing, education, and business assets using strategic systems thinking and AI-assisted tools. Create brand identity, presentations, reports, landing pages, social assets, and production-ready collateral while ensuring consistency, quality, accessibility, and cross-functional collaboration to improve user understanding and engagement.

Use AI-augmented workflows to create marketing campaigns, websites, videos, social content, presentations, and digital assets. Maintain brand quality, prototype and iterate with emerging AI tools, collaborate across teams, and manage multiple projects to improve engagement, conversions, and creative systems.

Own the full sales lifecycle for AI-powered products: prospecting, discovery, proposals, negotiation, closing, onboarding, and account growth. Maintain CRM, track pipeline and forecasts, collaborate with marketing/product/operations, and use AI tools to improve productivity and customer outcomes.

Early-career software engineer role contributing backend/full-stack feature development, testing, CI/CD, and production releases. Collaborate on API/module design, system integration, and deployment. Support engineering of AI/LLM features (LLM APIs, basic RAG, embeddings/agents), maintain datasets/benchmarks, track performance, debug issues, and produce technical documentation.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

Provide high-level administrative and operational support to the Business Operations Lead: manage inboxes and calendars, schedule travel, set meeting agendas, coordinate projects and third-parties, oversee timelines/budgets, create SOPs/knowledge bases, track expenses/invoicing, and perform ad hoc tasks. Maintain confidentiality and proactively optimize executive time while being available during extended US Pacific Time hours.

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.

Design, build, and optimize AI-powered workflows and automation across portfolio businesses. Use Claude Code and automation platforms to integrate CRMs, finance, and document systems; automate KYC, onboarding, loan processing, reporting, and customer workflows. Create reusable prompts, agents, SOPs, governance, and documentation. Translate business needs into scalable end-to-end AI solutions and continuously refine automation infrastructure.

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.

Create AI-generated images and videos from creative briefs, assist video editors by producing image-first assets, edit using Adobe Premiere and CapCut, learn new AI tools, collaborate with creative leads, and organize creative files. Complete a short test assignment if selected.

Lead strategic execution for BJAK's finance super app expansion by aligning leadership, building operating rhythms (OKRs, decision tracking), coordinating cross-functional workstreams, producing decision memos and board materials, identifying risks/dependencies, and owning high-impact special projects requiring senior judgment and cross-team authority.

Partner with the CEO to translate priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, owners, decisions and blockers; prepare briefs, research notes, meeting follow-ups and action trackers; work cross-functionally and own urgent, ambiguous business problems until resolved.

Design and build backend services, APIs and workflows for a finance super app. Support insurance, payments, wallet, savings, investing and partner integrations. Ensure reliability, security, observability, transactional integrity, and operational readiness for regulated financial products. Collaborate with product, mobile, operations and business teams and own production issues and system reliability.

Build and productionize AI-native systems and automation for a finance super app: integrate LLMs with data, APIs and knowledge bases; create assistants, agents and workflows across support, CRM, onboarding, claims, payments and operations; design evaluation, monitoring and fallback flows; prototype, test with users, and ship reliable, safe AI systems that reduce manual work and improve product metrics.

Design, build and ship Android and/or iOS features for BJAK's finance super app. Create mobile flows for insurance, payments, claims and financial services, integrate APIs, handle edge cases, improve performance and reliability, and support fast product launches and experiments with product, design, and backend teams.

Build and ship native Android features using Kotlin and modern Android architecture. Integrate backend APIs, improve performance and reliability, collaborate with product and design, use analytics and on-device ML to enhance financial user journeys.

Design, build and ship native iOS features in Swift for a finance super app. Create user flows for insurance, payments and financial services, integrate backend APIs, improve performance and reliability, debug production issues, use analytics to iterate, and apply on-device ML where it improves the UX.

Build end-to-end customer-facing and internal product features across web and backend: web flows, APIs, admin tools, dashboards, and operational systems. Support insurance, payments, savings, investing, travel and other financial services, integrate APIs, improve production reliability, use analytics and feedback to iterate, and build tools to reduce manual work.

Own product areas within a finance super app (insurance, payments, savings, investing, travel). Define problems, roadmaps, success metrics, and launch plans. Collaborate with engineering, design, data, ops, compliance and business teams. Use data and research to iterate, simplify complex financial products, monitor performance, and balance speed, UX, business impact and compliance.

Lead product strategy and execution for major finance super-app areas. Define roadmaps, priorities, success metrics, and product standards; guide PMs, designers and engineers; translate regulatory and operational constraints into product decisions; drive launch quality, post-launch learning, and continuous improvement across insurance, payments, savings, investing and travel.

Support the sales team by triaging demo and lead inquiries, maintaining CRM records and templates, creating sales resources, assisting prospecting and closing tasks, handling occasional client communications, and identifying process improvements to improve efficiency.

Support AI training and evaluation projects by reviewing AI-generated outputs, providing feedback, and ensuring high-quality results through cultural context and detailed guidelines.

The role involves evaluating AI-generated content, reviewing multimedia materials, and generating culturally relevant annotations to improve AI models. Attention to detail and strong local knowledge are essential.