Agentic AI Engineer: Build LLM-Powered Agents

Advanced Energy

Quezon City

On-site

PHP 3,071,253 - 4,914,004

Full time

14 days+

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Job summary

Advanced Energy is seeking an Agentic AI Engineer to design and implement intelligent AI agents capable of executing complex tasks. Responsibilities include architecting systems, evaluating agentic frameworks, and collaborating with business stakeholders. Candidates should have a Bachelor's degree in Computer Science or related fields, 3+ years in software development, and proficiency in Python. The position offers competitive compensation and benefits, supporting diversity and equal opportunity.

Qualifications

  • 3+ years of professional software development experience.
  • Experience evaluating and selecting AI/agent tooling for enterprise use cases.
  • Strong communication skills and ability to translate business needs into technical solutions.

Responsibilities

  • Design, build, and deploy intelligent AI agents for complex tasks.
  • Evaluate, select, and standardize agentic frameworks and tooling.
  • Partner closely with stakeholders to define agent behavior and success criteria.
  • Integrate agents with internal systems and external APIs.

Skills

Strong proficiency in Python
Hands-on experience with LLM APIs
Solid understanding of prompt engineering
Experience integrating AI systems
Familiarity with cloud platforms
CI/CD pipelines and DevOps practices

Education

Bachelor’s degree in Computer Science, Engineering, IT, or equivalent

Tools

Azure
AWS
GCP

Job description

Advanced Energy is seeking an Agentic AI Engineer to design and implement intelligent AI agents capable of executing complex tasks. Responsibilities include architecting systems, evaluating agentic frameworks, and collaborating with business stakeholders. Candidates should have a Bachelor's degree in Computer Science or related fields, 3+ years in software development, and proficiency in Python. The position offers competitive compensation and benefits, supporting diversity and equal opportunity.
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