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AI Engineer

Exclusive opportunity

Hybrid

AI Engineer

A7 Recruitment

AI Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDeep LearningDockerReactPythonData ScienceMicroservicesMATLABRData AnalysisMachine LearningAIAWSKubernetesAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

17 September 2026

What they need


Open Roles:

  • AI Engineer Senior Associate - 4 to 7 years of experience
  • AI Engineer Manager - 7 to 11 years of experience

Work location: BGC

Work schedule: Mid shift / 12 PM (9:30 am to 10 am IST) start of shift

Work arrangement: 50% hybrid

Qualifications:

  • At least a Bachelor's degree

  • Oral and written proficiency in English required

  • Strong full-stack or backend development skills, including Python, Angular or React, RESTful APIs, microservices, SQL/NoSQL databases, testing, and software architecture.

  • Hands-on experience building AI-integrated applications, using LLMs, RAG, embeddings, vector databases, and frameworks such as LangChain, LlamaIndex, or Autogen.

  • Proven cloud and DevOps capability, including Azure, AWS, or GCP deployment, Docker, Kubernetes, CI/CD, Git, security, reliability, and scalability.

What Sets You Apart

  • Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
  • Demonstrating proficiency in data science algorithms and workflows
    Utilizing machine learning and deep learning techniques effectively
  • Excelling in complex data analysis and predictive modeling
  • Managing data pipelines and confirming data quality
  • Applying knowledge of programming languages such as C++, R, and MATLAB
  • Leveraging experience with data engineering and data pipeline management
  • Navigating ambiguity while building meaningful client relationships
  • Embracing change and innovation in technology-driven environments

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