Senior AI Engineer
Posted
Summary
Builds production data pipelines and AI/ML automation, with plus points for LLM work using LangChain, LangGraph, RAG, and prompt engineering. Onsite dayshift role in Manila or Cebu for engineers with 2-4 years in data engineering, platform engineering, or MLOps.
Qualifications
- 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.
Plus Points
- 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.
Location: Manila or Cebu
Setup: Onsite
Schedule: Dayshift