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Open nowPosted 151 days ago

AI Application Developer

Workable (global search)108,016 open roles

Where
Makati City, Metro Manila, Philippines
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Your applicationOpen nowAI Application DeveloperWorkable (global search) · Makati City, Metro Manila, Philippines
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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 151 days ago

Workable (global search) median: 7 days open

The posting

Job Description:

  • Develop and support AI-driven applications focused on knowledge base ingestion, including extracting, processing, and storing structured and unstructured data (e.g., Excel files, PDFs, images, and database records).
  • Build and maintain data pipelines for machine learning models, ensuring data quality, consistency, and efficient processing.
  • Implement document parsing, text preprocessing, and chunking strategies to prepare data for retrieval-augmented generation (RAG) systems.
  • Design and support workflows for retrieving relevant data and injecting context into prompts for AI applications.
  • Assist in developing and integrating backend services using Python frameworks such as Django.
  • Collaborate with cross-functional teams to test, deploy, and improve AI models and pipelines.
  • Support containerized deployments and environments using Docker and Kubernetes.
  • Contribute to continuous improvement of AI systems, including reducing hallucinations and improving response accuracy.

Requirements

Qualification:

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or any related field.
  • <max 2 for Junior at least 3 for Mid> years of experience in AI/ML, data engineering, or backend development with exposure to production-level AI systems.
  • Strong understanding of AI/ML concepts, including embeddings, vector databases, and RAG architecture design.
  • Proficient in Python and relevant libraries such as pandas, numpy, openpyxl, requests, and PyPDF.
  • Hands-on experience in building and optimizing data pipelines for structured and unstructured data.
  • Strong experience in data preprocessing, document parsing, chunking strategies, and normalization techniques.
  • Experience working with vector databases and similarity search mechanisms.
  • Familiar with Docker and Kubernetes for containerized deployment and scaling.
  • Experience with Dify platform or similar AI workflow/orchestration tools is an advantage.
  • Strong understanding of prompt engineering, context injection, and techniques to minimize hallucinations in AI systems.
  • Experience with API development and system integration using frameworks such as Django or FastAPI.
  • Familiar with CI/CD pipelines, version control (Git), and Agile methodologies.
  • Strong problem-solving, analytical, and communication skills, with the ability to work across cross-functional teams.
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