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AI Developer – Build LLM‑Powered Applications

Roar Global · Cebu

🇬🇧 English
Python TypeScript JavaScript REST APIs LLM APIs Prompt engineering Vector search Embeddings Version control Testing

Job description

About the role

Roar Apex is seeking an AI Developer to design, develop, and deploy AI‑powered applications that leverage large language models (LLMs). You will work in a fast‑paced, collaborative environment, turning business needs into intelligent solutions that improve user experience and product performance.

Key responsibilities

  • Design, develop, and maintain AI‑driven features using LLM platforms such as Claude, OpenAI, or similar.
  • Build and optimise prompt workflows, AI agents, and retrieval‑based systems.
  • Implement Retrieval‑Augmented Generation (RAG), semantic search, and context‑management solutions.
  • Integrate AI capabilities with internal systems and third‑party APIs.
  • Collaborate with product managers, designers, and engineers to translate requirements into AI‑enabled solutions.
  • Evaluate, test, and monitor model performance, accuracy and reliability.
  • Troubleshoot AI service issues and ensure robust application functionality.
  • Stay current with AI advancements and recommend adoption of new tools.

Required profile

  • Proven experience building applications with LLM APIs (e.g., Anthropic Claude, OpenAI).
  • Strong proficiency in Python and/or TypeScript/JavaScript.
  • Experience developing and consuming REST APIs using modern frameworks.
  • Familiarity with prompt engineering, AI workflows, and LLM application development.
  • Understanding of RAG, vector search, embeddings, and related AI concepts.
  • Solid grasp of software development best practices, including testing, version control and code reviews.
  • Excellent problem‑solving abilities and effective communication with technical and non‑technical stakeholders.

Required skills

  • Python
  • TypeScript
  • JavaScript
  • REST API development
  • LLM APIs (Anthropic Claude, OpenAI)
  • Prompt engineering
  • Retrieval‑Augmented Generation (RAG)
  • Vector search
  • Embeddings
  • Version control (Git)
  • Automated testing

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Published 1 month ago

Expires 2 weeks from now

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Roar Global

Cebu