AI Engineer

18 hours ago

Manila, National Capital Region, Philippines Ahsay Operation Centre Full time ₱900,000 - ₱1,200,000 per year

"Ready for your next career move? If you like to meet challenges, and you are passionate for self-actualization, then you are the one we are looking for"What awaits you if you consider this full-time opportunity?Competitive compensation PackageHMO Coverage for employee after regularization (Plus FREE dependent medical coverage)Yearly performance based bonus (14 month pay) and salary increase15 VL, 12 SL and paid holidays

Enjoy a work-life balance (8 hour per day, Monday to Friday)Professional growth and exciting learning opportunity for passionate talents

Fast Track Promotion OpportunityExcellent career opportunities with overseas exposure

Job Security and Career OpportunitiesOne-time Relocation allowance available for moving to Makati for work3-5 minutes' walk from Makati, RCBC tower. About the Role:We're looking for an Applied AI Engineer who can bring the power of AI models (like ChatGPT, DeepSeek, or Hugging Face) into real-world testing and QA workflows.

This role focuses on integrating AI tools into our internal systems to streamline operations, automate repetitive tasks, and boost productivity — not on building AI models from scratch. Key Responsibilities:Integrate pre-trained AI models into QA workflows, reporting systems, and test automation tools. Enhance test processes by building tools that use AI to summarize results, detect anomalies, or generate insights.

Prepare and manage data used to fine-tune or optimize model outputs for internal use cases. Develop internal utilities, APIs, and connectors to bridge AI tools with existing development and testing environments. Work closely with QA engineers, developers, and operations to ensure solutions are practical, efficient, and aligned with business goals.

What We're Looking For:2+ years of software development experience (Python or Java preferred).

Strong interest in practical AI application — making AI work in real-world environments. Hands-on experience with frameworks like OpenAI, Hugging Face, or LangChain.

Good understanding of ML model usage (e.g., fine-tuning, prompt engineering, data feeding). Familiarity with QA/testing concepts and test automation workflows. Clear communication skills for collaborating with both technical and non-technical teams.

Nice-to-Have:Experience with test automation tools or CI/CD pipelines. Background in Agile development environments.

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