# AI Developer at KDCI

> Hybrid · Philippines · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Akdci1%3A2682436 (read 2026-11-08).

## Facts (observed)

- Company: [KDCI](https://alderhq.app/companies/kdci)
- Location text: Pasig City, National Capital Region, Philippines
- Where it can be done from (inferred): Hybrid · Philippines (evidence: "Location: Pasig City, National Capital Region, Philippines")
- Posted: 2026-07-20 (111 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://kdci1.recruitee.com/o/ai-developer
- Skills listed (inferred): Python, PyTorch, TensorFlow

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

### Role Summary

KDCI Outsourcing is looking for an AI Developer to design, build, and deploy AI-powered features and applications. You'll work with machine learning models and APIs to create intelligent solutions that improve products and workflows.

### Key Responsibilities

Design and develop AI-powered applications and features

Integrate machine learning models and third-party AI APIs into products

Build and maintain data pipelines to support model training and inference

Test and validate AI systems for accuracy, performance, and reliability

Collaborate with product teams to identify opportunities for AI integration

Document technical approaches and maintain clean, reusable code

### Requirements

### Requirements

2+ years of experience building AI or machine learning applications

Proficiency in Python and common ML libraries (scikit-learn, PyTorch, TensorFlow)

Experience integrating APIs from AI providers (OpenAI, Anthropic, etc.)

Understanding of core ML concepts (training, inference, evaluation)

Strong problem-solving and debugging skills

### Nice-to-Haves

Experience with vector databases and embeddings

Familiarity with MLOps tools and model deployment pipelines

Exposure to computer vision or NLP projects

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Akdci1%3A2682436 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.