AI Engineer

Our Clients; Taguig; On-site; PHP 750,000 - 1,200,000; Full time

Job summary

Our Clients in Metro Manila, Taguig is seeking an AI Engineer to design, implement, and support cloud-based Generative AI solutions. The role involves developing intelligent applications and collaborating with cross-functional teams to enhance AI capabilities.

The ideal candidate will have a Bachelor's in Computer Science and 2–5 years of software development experience, particularly with cloud APIs. Strong analytical and collaboration skills are essential, along with expertise in Python and cloud platforms.

Qualifications

• 2–5 years of experience in software development.
• At least 1 year of experience integrating cloud-based APIs or AI services.
• Hands-on experience developing applications using Python and RESTful APIs.

Responsibilities

• Design, configure, and integrate AI services using cloud platforms.
• Develop and evaluate prompts for Generative AI applications.
• Deploy, monitor, and maintain AI-powered solutions.

Skills

Collaboration skills

Analytical problem-solving

Written and verbal communication

Continuous learning

Ownership mindset

Education

Bachelor's degree in Computer Science or related discipline

Tools

Python

RESTful APIs

Microsoft Azure

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

Job description

Job Overview

Our client is seeking an AI Engineer to design, implement, and support cloud-based Generative AI solutions. This role focuses on developing intelligent applications using modern AI platforms, integrating cloud AI services, and applying industry best practices for prompt engineering, retrieval strategies, AI safety, and solution optimization.

The successful candidate will collaborate with cross-functional engineering teams to build scalable AI capabilities, deploy production-ready solutions, and continuously improve performance, reliability, and governance across AI implementations.

Key Responsibilities

• Design, configure, and integrate AI services such as large language models, computer vision, speech, and language processing capabilities using major cloud platforms.
• Develop, refine, and evaluate prompts to improve the quality, accuracy, and effectiveness of Generative AI applications.
• Prepare, validate, and optimize datasets to support AI model performance and cloud AI services.
• Deploy, monitor, and maintain AI-powered solutions using cloud-native technologies and deployment tools.
• Work closely with solution architects, platform engineers, and cross-functional teams to deliver scalable AI solutions.
• Create and maintain technical documentation, including solution designs, configurations, implementation details, and operational procedures.
• Investigate, troubleshoot, and resolve issues affecting AI applications and cloud-based services.
• Contribute to continuous improvement by adopting AI engineering best practices and sharing technical knowledge within the team.

Qualifications

Education

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Equivalent professional experience may also be considered.
• Cloud AI certifications are advantageous but not required.

Experience

• 2–5 years of experience in software development.
• At least 1 year of experience integrating cloud-based APIs or AI services.
• Hands‑on experience developing applications using Python and RESTful APIs.
• Familiarity with at least one major cloud platform such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).

Technical Knowledge

• Cloud-based AI services across Microsoft Azure, AWS, and Google Cloud Platform.
• Generative AI technologies, including prompt engineering and prompt optimization techniques.
• AI service integration using REST APIs and cloud-native architectures.
• Data preparation, preprocessing, and validation for AI applications.
• API integration patterns and application design principles.
• Fundamental cloud security, governance, and compliance concepts.
• AI solution deployment, monitoring, and operational support within cloud environments.

Skills

• Strong collaboration skills with the ability to work effectively across engineering, architecture, and business teams.
• Analytical problem‑solving skills with the ability to translate business requirements into practical AI solutions.
• Excellent written and verbal communication skills, including the ability to document technical solutions clearly.
• Commitment to continuous learning and keeping current with emerging AI technologies and cloud platform capabilities.
• Strong ownership mindset with a focus on delivering reliable, high‑quality AI solutions and operational excellence.