AI Engineer

Hammerjack Pty Ltd; Taguig; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Hammerjack Pty Ltd in the Philippines is seeking an AI Integration Engineer to independently integrate and configure AI services from Azure, AWS, and GCP. You will develop, optimize, and test prompts for LLMs, prepare data for AI workloads, and deploy AI-powered solutions using cloud-native tools.

We expect 2-5 years of software development experience, 1+ year with cloud APIs, and strong Python/REST API skills.

Qualifications

• Bachelor's degree in CS/Software Eng or related field or equivalent 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 Azure, AWS, or GCP.
• Knowledge of Azure AI services (OpenAI, Cognitive, Speech, Vision).
• Knowledge of AWS AI services (Bedrock, SageMaker, Rekognition).
• Knowledge of GCP AI services (Vertex AI, Cloud AI APIs).
• Advanced prompt engineering and data preprocessing/validation.
• Understanding of API design and integration patterns.
• Basic knowledge of cloud security and compliance.

Responsibilities

• Independently integrate and configure AI services from Azure, AWS, and GCP.
• Develop, optimize, and test prompts for LLMs and generative AI.
• Prepare, preprocess, and validate data for 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.

Skills

Collaboration

Problem Solving

Communication

Continuous Learning

Education

Bachelor's degree (CS/Software Eng or related)

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

Minimum Qualifications

• 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