AI Engineer

• Design and build AI-native systems end-to-end, from architecture through production
• Write production code in Node.js and Python, and build interfaces in React and TypeScript
• Own deployment on Azure, including CI/CD pipelines that support fast iteration
• Build agentic systems using LLM tool-use, MCP, and agent runtimes
• Work directly with the founder to define problems and shape the approach
• Document your work so the team can build on it

Full-Stack AI Architect

• Build AI solutions for company research, document analysis, meeting summaries, and reporting
• Integrate AI with internal systems, CRM platforms, and company data
• Automate recurring tasks and measure improvements in efficiency and accuracy
• Validate AI outputs, implement human review where needed, and protect confidential information
• Maintain solutions and document processes
• Train team members
• Walk shortlisted interviewers through personally built work

Applied AI Engineer

• Translate client requirements and Statements of Work into practical AI and software solutions
• Analyse business problems and determine the best technical approach independently
• Build working prototypes and foundational solutions for later productionisation
• Develop AI-powered workflows that automate repetitive business processes
• Integrate software, platforms, databases and APIs
• Build front-end, back-end, database and dashboard components as required
• Use ChatGPT, Claude, automation platforms and LLMs to develop and improve solutions
• Work with Zapier, n8n, MCP and browser automation
• Connect or automate legacy and limited-API business systems
• Research new technologies and approaches as needed
• Test, troubleshoot and continuously improve functionality
• Document workflows, technical decisions, changes and processes for handover
• Build reusable solutions that can be adapted, repackaged or white-labelled
• Collaborate with Elliot, the wider consulting team and the client's senior technology partner
• Communicate clearly and remain responsive as requirements change
• Own projects from initial problem-solving through working prototype and handover

Full-Stack Engineer – AI Automation

• Create realistic, challenging coding tasks involving feature implementation and software bug fixes.
• Design tasks that reflect real-world backend engineering scenarios.
• Develop deterministic verifiers that accept reasonable valid solutions and reject incorrect outputs.
• Work with backend technologies such as Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages.
• Evaluate code for correctness, reliability, maintainability, and performance.
• Incorporate automated testing and clear validation criteria into coding tasks.
• Identify and account for edge cases, performance bottlenecks, and potential implementation errors.
• Apply secure coding principles and cybersecurity considerations where relevant.
• Refine tasks and verification logic based on project requirements and quality standards.

Backend Software Engineer – AI Training Projects

• Lead pre-contract technical solutioning and subsequent delivery, preserving continuity from proposal to production
• Split time approximately equally between client engagement and delivery, flexing with the pipeline
• Shape technical approaches, challenge problem statements and facilitate discovery workshops
• Produce target-state architectures, build sequences, proposal assumptions, exclusions, risks and defensible estimates
• Design four-to-six-week proofs of concept and serve as technical peer to client architects, data leaders and CIOs
• Own end-to-end architecture and, where required, lead delivery, scope, stand-ups and client technical activities
• Implement demanding components and reference solutions hands-on
• Deliver Databricks lakehouses, including medallion layers, Unity Catalog, Delta Lake, ingestion and orchestration
• Build production generative AI systems covering RAG, agents, evaluation, prompt/context engineering, cost and latency
• Set CI/CD, infrastructure-as-code, testing, observability and cost standards
• Mentor client engineers and manage production readiness and handover
• Turn delivery experience into reference architectures, accelerators, templates and estimation models
• Contribute to Frontier Academy and maintain current recommendations across Databricks, Microsoft and Anthropic
• Help shape and eventually lead a small delivery team, including recruitment

Data & AI Architect

• Design and build interfaces for business teams to configure agents, review work, approve or correct actions, and understand what happened and why
• Build observability and evaluation tooling to make agent behavior legible, including successes, failures, and the effects of changes
• Work across the stack from React and TypeScript through service code and data models, owning features end to end through build, test, launch, and iteration
• Partner directly with business teams to translate ambiguous operational problems into working software
• Own the full lifecycle of work, including monitoring and post-launch improvement

Full-Stack Engineer, AI Platform

• Design and build interfaces for business teams to configure agents, review agent work, approve or correct actions, and understand outcomes
• Build observability and evaluation tooling to make agent behavior legible, including successes, failures, and impact of changes
• Work across the stack from React and TypeScript through service code and data models
• Own features end to end through build, test, launch, monitoring, and iteration
• Partner directly with business teams to translate ambiguous operational problems into working software
• Own the full lifecycle of work, including post-launch improvement

• Support DMS's marketing, brand, and lead-generation activities
• Create high-quality branded graphics and marketing content
• Support and monitor Meta advertising campaigns
• Assist with social media and digital marketing activities
• Contribute to ongoing improvement of DMS's online presence
• Respond to and contact prospective clients, including by phone
• Gather relevant information and assess initial suitability of prospective clients
• Ensure qualified opportunities are progressed promptly to the appropriate DMS team member
• Work remotely from Manila and collaborate closely with the Australian DMS team

AI Engineer jobs in Philippines

Full-Stack AI Architect

Applied AI Engineer

Full-Stack Engineer – AI Automation

Backend Software Engineer – AI Training Projects

Data & AI Architect

Full-Stack Engineer, AI Platform

Full-Stack Engineer, AI Platform

Digital Solutions Specialist – AI Architect