Job Description - AP - Senior AI Engineer (Remote)
Description
Note: This is for active pooling purposes only. Submitting your application does not guarantee employment. Your details will be kept on file and considered for future opportunities as they become available.
We are seeking a highly skilled Senior AI Engineer to join our team at D2B. This role is ideal for someone with strong experience in building and deploying production-grade AI/ML systems, particularly using large language models (LLMs), retrieval-augmented generation (RAG), and cloud platforms such as GCP, AWS, and Azure.
You will be responsible for designing and implementing scalable AI solutions, building retrieval systems, integrating APIs, and working across the full software development lifecycle (SDLC). Strong experience with microservices, data pipelines, and deploying AI models in production environments is essential.
Position: Senior AI Engineer
Salary: PHP 120,000 - PHP 1800,000/month (flexible for more experienced candidates)
Working Hours & Conditions: AU/NZ business hours; Mondays to Fridays, 7:00AM to 4:00PM PH Time; full-time (remote)
Holidays: TBD
Responsibilities:
Translate AI solution concepts and technical specifications into working, production-ready implementations
Support delivery from proof of concept (POC) through initial implementation and handover
Design, build, and deploy agentic systems and retrieval-augmented generation (RAG) workflows
Develop and deploy AI solutions across cloud environments, with a focus on GCP and familiarity with AWS and Azure
Apply strong software architecture principles in solution design and implementation
Implement solutions with awareness of security, governance, and data protection requirements
Collaborate with solution architects and stakeholders to refine technical requirements and delivery scope
Work independently from technical briefs with minimal supervision
Requirements
Qualifications:
Strong experience as a Senior AI Engineer, Applied AI Engineer, or similar role
Proven experience building and deploying AI-powered applications in production environments
Hands-on experience with LLM-based workflows, agentic systems, and RAG architectures
Strong API integration experience and understanding of cloud-native application development
Experience working with GCP (preferred), with exposure to AWS and Azure
Solid understanding of software architecture, scalable system design, and SDLC best practices
Ability to work with partially defined requirements and evolving project scope
Strong problem-solving skills with the ability to balance speed, quality, and practical constraints
Nice to Have
Exposure to AI governance, guardrails, or enterprise AI control frameworks
Experience with internal AI enablement tools or enterprise-scale AI implementations
Ability to collaborate with senior technical stakeholders on solution design and architecture decisions
Benefits
Benefits
Competitive salary based on experience and skill set
100% remote role — work from home anywhere in the Philippines
Paid local holidays aligned with the Australian business calendar
Opportunities for training and professional growth
Work directly with a supportive Australian team — no agency middleman
Long-term engagement with a stable and growing business
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