Software Engineer

KPN Corporation; Jakarta Pusat; Presencial; IDR 180 000 000 - 300 000 000; Tempo integral

Resumo da oferta

KPN Corporation is seeking an experienced AI Engineer in Jakarta to design, build, and deploy AI solutions for HR. You will turn HR data into predictive insights, bring LLMs into HR processes, and create a secure AI foundation for the HRIS.

You will collaborate with HR, IT, and business stakeholders to deliver AI that improves employee experience, speeds up decisions, and reduces manual work while protecting privacy and ethics.

Qualificações

• Bachelor's degree in a relevant field and hands-on AI experience.
• 3–5 years deploying AI/ML models to production, preferably in HR.
• Experience with HR data, HRIS, or people analytics is a strong advantage.

Responsabilidades

• Design and build AI/ML models for HR use cases like attrition and performance analytics.
• Develop and deploy LLM-based HR solutions using prompt engineering and RAG.
• Build data pipelines from HRIS and related systems for AI readiness.
• Manage MLOps, versioning, monitoring, and retraining of models in production.
• Define HRIS AI architecture and ensure data privacy and ethics.
• Translate HR problems into AI solutions with clear success metrics.

Conhecimentos

Python

Pandas

NumPy

Scikit-learn

Formação académica

Bachelor's degree in Computer Science/related field

Master's degree in AI/ML/Data Science (advantage)

Ferramentas

TensorFlow

PyTorch

LangChain

LlamaIndex

OpenAI API

Anthropic Claude

Kubernetes

Descrição da oferta de emprego

3 - 5 Years

Job Description

Job Description

We are looking for an experienced AI Engineer to design, build, and deploy AI solutions that change how our HR function works. You will turn HR data into predictive insights, bring Large Language Models (LLMs) into our HR processes, and create a secure, scalable AI foundation for our Human Resource Information System. You will work closely with HR, IT, and business stakeholders to deliver AI that improves employee experience, speeds up decision-making, and reduces manual work, while keeping employee data private and handling it ethically.

Key Responsibilities

• Design and build AI/ML models for HR use cases. Examples include attrition prediction, talent and skill matching, workforce planning, performance analytics, and employee sentiment analysis.


• Develop LLM-based solutions. Build systems such as Retrieval-Augmented Generation (RAG) over HR policies and knowledge bases, and use prompt engineering and fine-tuning where appropriate.


• Build and maintain data pipelines. Extract, clean, and transform data from the HRIS, payroll, attendance, recruitment, and learning systems so it is ready for AI models.


• Deploy and monitor models in production (MLOps). Manage versioning, performance monitoring, drift detection, and retraining so models stay accurate over time.


• Define the HRIS AI architecture. Select appropriate tools, cloud services, and AI platforms in line with company IT standards.


• Ensure responsible AI and data protection. Test models for bias and fairness, especially in hiring and promotion, and comply with data privacy regulations [e.g., local Personal Data Protection Law / GDPR].


• Translate HR problems into AI solutions. Work with HR business partners and HRIS teams to gather requirements, define success metrics, and measure business impact.


• Evaluate emerging AI technologies. Assess new tools and vendors and recommend those that fit the HR technology roadmap.


• Document and share knowledge. Write technical documentation and train HR and HRIS team members to understand and use AI tools.

Requirements

Education

Bachelor's degree in Computer Science, Informatics, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.

A Master's degree in AI, Machine Learning, or Data Science is an advantage.

Experience

Minimum 3–5 years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a proven record of deploying models into production.

Experience with HR data, HRIS platforms, or people analytics is a strong advantage.

Technical Skills

• Strong programming in Python, including libraries such as Pandas, NumPy, and Scikit-learn.


• Hands-on experience with ML/deep learning frameworks such as TensorFlow or PyTorch.


• Practical experience with LLMs and GenAI, such as the OpenAI, Anthropic Claude, or Azure OpenAI APIs, LangChain or LlamaIndex, and vector databases.


• Solid SQL skills and experience with data warehouses or data lakes.


• Experience with a major cloud platform (AWS, Azure, or GCP) and its AI/ML services.


• Familiarity with MLOps tools and practices, such as Docker, CI/CD, MLflow, and model monitoring.

Understanding of data privacy, security, and AI ethics, particularly for sensitive personal data.

Job Snapshot

Updated Date

22-09-2026

Job ID

JOB209

Unit

HC Information System