Senior AI Engineer

APWTech; Mandaluyong; On-site; PHP 600,000 - 900,000; Full time

Job summary

APWTech in the Philippines is seeking a data engineering and MLOps specialist to design, build, and maintain data pipelines and automation for production AI workflows.

You will work with Python, Pandas, Polars, LangChain, and RAG-based apps, ensuring scalable data models, governance, and responsible AI practices across multi-model deployments.

Qualifications

• Bachelor's degree in CS/Math/Applied Physics/Data Science or related field.
• 2–4 years in data/ platform engineering, MLOps, or operations-focused technical role.
• Hands-on experience building automation solutions or data pipelines in production.
• Exposure to AI/ML tooling, agentic frameworks, or LLM-based applications a strong plus.
• Comfortable working in ambiguous environments, able to identify problems and propose solutions independently.
• Proficient in Python, Pandas, Polars, and Apache Spark.

Skills

Python

Pandas

Polars

LangChain

LangGraph

RAG pipelines

Prompt engineering

PostgreSQL

Apache Iceberg

AI governance

Ethical AI

Bias mitigation

Transparency

Data modeling

Feature stores

Dimensional modeling

Education

Bachelor's Degree in Computer Science, Mathematics, Applied Physics, Data Science, or related field

Tools

LangChain

LangGraph

RAG pipelines

PostgreSQL

Apache Iceberg

Apache Spark

Job description

• Bachelor's Degree in Computer Science, Mathematics, Applied Physics, Data Science, or a related field
• 2 to 4 years in data engineering, platform engineering, MLOps, or operations-focused technical role.
• Hands-on experience building automation solutions or data pipelines in a production environment.
• Exposure to AI/ML tooling, agentic frameworks, or LLM-based applications is a strong plus.
• Comfortable working in ambiguous environments, able to identify problems and propose solutions independently.
• Proficient in Python, Pandas, Polars, and Apache Spark.
• Hands-on experience with LangChain, LangGraph, RAG pipelines, and prompt engineering.
• Familiar with PostgreSQL, Apache Iceberg
• Understand end-to-end AI architecture - RAG, agentic systems, multi-model workflows, APIs, and production deployment.
• Knowledgeable in ethical AI, bias mitigation, transparency, AI governance, and enterprise regulatory considerations.
• Strong grasp of data modeling, feature stores, dimensional modeling, and dataset structure for ML pipelines.