ACCION LABS PHILIPPINES, INC.
AI Architect/Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₱1,080,000 – ₱1,200,000 / year
Location:
Taguig, Metro Manila, Philippines
Work mode:
Hybrid
Published on:
12 August 2026
What they need
Position: AI Engineer 6 Months Project Based
Location: Bonifacio Global City, Taguig, Philippines (Hybrid Set up)
Job Description:
- Independently integrate and configure AI services (e.g., LLMs, vision, speech, language APIs) from Azure, AWS, and GCP
- Develop, optimize, and test prompts for LLMs and generative AI
- Prepare, preprocess, and validate data for use with platform AI services
- Deploy and monitor AI-powered solutions using cloud-native tools
- Collaborate with architects and platform engineers to deliver AI solutions
- Document solution configurations, code, and operational procedures
- Troubleshoot and resolve issues in AI solutions
Requirements:
Education
- Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent professional experience)
- Cloud platform certifications (Azure AI Fundamentals, AWS Certified AI Practitioner) are beneficial
Related Work Experience
- 2-5 years of software development experience
- 1+ year of experience integrating cloud APIs or services
- Experience with Python and REST APIs
- Familiarity with at least one cloud platform (Azure, AWS, or GCP)
Knowledge
- Comprehensive knowledge of Azure AI services (Azure OpenAI, Cognitive Services, Speech, Vision)
- Comprehensive knowledge of AWS AI services (Bedrock, SageMaker endpoints, Rekognition)
- Comprehensive knowledge of GCP AI services (Vertex AI, Cloud AI APIs)
- Advanced knowledge of prompt engineering techniques and optimization ○ Knowledge of data preprocessing and validation ○ Understanding of API design and integration patterns
- Basic knowledge of cloud security and compliance
SKILLS
- Collaboration: Works effectively with architects, platform engineers, and business users
- Problem Solving: Breaks down AI requirements into manageable configurations
- Communication: Clearly documents solutions and technical decisions
- Continuous Learning: Stays current with platform AI capabilities and latest practices
- Accountability: Takes ownership of solution quality and operational excellence
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