Lead AI Software Developer

3 days ago


Mandaluyong City, National Capital Region, Philippines beBeeEngineering Full time ₱800,000 - ₱1,000,000
AI Engineering Role

We are looking for an experienced AI engineer to support the development of our AI platform.

This role is hands-on, focusing on applying best practices in AI engineering to deliver reliable, scalable solutions.

You will work closely with senior engineers and data scientists to productionize AI workflows and continuously improve processes.

  • Pipeline Development: Contribute to building and maintaining AI pipelines for data ingestion, feature engineering, training, testing, and deployment in Azure Databricks.
  • Model Lifecycle & MLOps: Support model training, tuning, deployment, and monitoring using Databricks MLflow or Azure ML.
  • Data Governance & Compliance: Apply data security and access control standards as defined by the team.
  • Deployment & Monitoring: Deploy models for batch and real-time inference under guidance from senior engineers; help implement monitoring for performance and drift detection.
  • CI/CD & Infrastructure: Contribute to integrating pipelines with CI/CD tools such as Azure DevOps or GitHub Actions; support infrastructure-as-code practices (Terraform, Bicep, or ARM templates).
  • Collaboration & Documentation: Work closely with data scientists to move prototypes into production; document workflows and contribute to knowledge sharing within the team.

The ideal candidate has 2–4 years of experience as an AI Engineer, solid proficiency in Python and AI frameworks, practical experience with Azure Databricks, MLflow, and Delta Lake, familiarity with Git-based workflows and CI/CD pipelines, understanding of AI principles, and production requirements.

Requirements
  • 2–4 years of experience as an AI Engineer.
  • Solid proficiency in Python and AI frameworks.
  • Practical experience with Azure Databricks, MLflow, and Delta Lake.
  • Familiarity with Git-based workflows and CI/CD pipelines.
  • Understanding of AI principles and production requirements.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.

Preferred qualifications include experience with Generative AI, LLM deployment, or RAG pipelines, exposure to Azure ML, Data Factory, and vector databases, and Azure certifications.

Soft Skills
  • Eager to learn and grow — curious about new tools and methods.
  • Collaborative and supportive — enjoys working with cross-functional teams.
  • Detail-oriented — ensures quality in governance, testing, and documentation.
  • Strong communicator — able to share progress and challenges effectively.

We are seeking a highly skilled AI professional who can contribute to our team's success.



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