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Open nowFirst seen 4 days ago

AI Agent Engineer / LLM Application Engineer (RP - 03112026)

Rippedboxstation421 open roles

Where
Manila, Metro Manila, Philippines, Remote
Work mode
Remote
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Your applicationOpen nowAI Agent Engineer / LLM Application Engineer (RP - 03112026)Rippedboxstation · Manila, Metro Manila, Philippines, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Rippedboxstation's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

Position: AI Agent Engineer / LLM Application Engineer

Number of hours: TBC

Schedule: TBC

Key Responsibilities

  • Design, develop, and deploy AI agents and LLM-powered applications for various business use cases
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval and contextual responses
  • Develop NLP-based systems for text processing, classification, and conversational AI
  • Integrate Voice AI systems for speech recognition, voice assistants, and automated call workflows
  • Connect LLM applications with databases, APIs, and external systems
  • Fine-tune prompts, optimize model performance, and improve response accuracy
  • Implement automation workflows using AI agents and orchestration frameworks
  • Monitor, test, and continuously improve AI system performance and reliability
  • Document AI architectures, workflows, and deployment processes
  • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions

Qualifications

  • Proven experience building LLM-powered applications or AI agents
  • Strong experience with Retrieval-Augmented Generation (RAG) architectures
  • Solid background in Natural Language Processing (NLP)
  • Experience developing Voice AI systems or conversational AI solutions
  • Proficiency in Python and working with AI/ML frameworks
  • Experience with LLM APIs (e.g., OpenAI, Anthropic, or similar platforms)
  • Familiarity with vector databases, embeddings, and semantic search
  • Experience integrating AI solutions with APIs, databases, and cloud services
  • Strong analytical and problem-solving skills
  • Ability to work independently and communicate technical concepts clearly
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