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AI Engineer / AI Specialist

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Onsite

AI Engineer / AI Specialist

GameOne PH

AI Engineer / AI Specialist

Skills

Google Cloud PlatformDockerPythonMachine LearningAIKubernetesNo-code Automations

2 months ago

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Important information


Contract type:

Permanent

Location:

Quezon City, Metro Manila, Philippines

Work mode:

Onsite

Published on:

13 August 2026

What they need


AI Engineer / AI Specialist

Location: Hybrid or Remote – Cubao, Quezon City
Employment Type: Full-time

About the Role

GameOne is looking for an AI Engineer to design, develop, and deploy AI-powered applications using modern technologies such as Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Voice AI, and workflow automation.

Key Responsibilities

  • Design and develop AI-powered applications, chatbots, voice agents, and workflow automations.
  • Build and optimize prompts, RAG pipelines, and agentic AI systems.
  • Integrate AI models with APIs, databases, and third-party platforms.
  • Develop and maintain scalable AI solutions for real-world business applications.
  • Collaborate with product, engineering, and business teams to develop practical AI solutions.
  • Evaluate emerging AI technologies and identify opportunities for implementation.
  • Test, monitor, and improve the performance and reliability of AI applications.

Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field; equivalent experience may also be considered.
  • Strong proficiency in Python.
  • Experience working with OpenAI, Anthropic, or Google Gemini APIs.
  • Knowledge of Prompt Engineering and Retrieval-Augmented Generation (RAG).
  • Familiarity with AI frameworks such as LangChain, LlamaIndex, or CrewAI.
  • Experience working with REST APIs, vector databases, and Git.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to work independently while collaborating effectively with cross-functional teams.

Experience with any of the following is a plus:

  • Google Cloud / Cloud Run
  • Speech-to-Text (STT) and Text-to-Speech (TTS)
  • Docker and Kubernetes
  • Machine Learning / AI frameworks
  • AI Agents and workflow automation
  • Cloud-based AI application deployment

Why Join Us?

  • Work on real-world AI projects with practical business applications.
  • Learn and receive mentorship from experienced AI engineers.
  • Gain hands-on exposure to the latest AI technologies and tools.
  • Work in a flexible hybrid/remote environment.
  • Build your skills and grow your career in the rapidly evolving field of AI.

Ready to Build the Future with AI?

If you're passionate about AI, LLMs, automation, and building intelligent solutions, we'd love to hear from you!

Apply now and join building practical AI solutions with real-world impact.

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