Analytics & AI Engineer

This is a fully remote position, open to applicants in Indonesia.

📋 Description

• Design and implement a contemporary and efficiently orchestrated data warehouse along with pipeline architecture.

• Develop alerting, monitoring, and data-quality assurance measures to establish trust in the data platform across the organization.

• Transform statistical and machine learning models into dependable, scalable production services.

• Create the ML Ops framework and the necessary tools and context layers that enable AI agents to operate reliably on our data, including knowledge platforms built on the data foundation.

• Collaborate closely with data scientists and analysts to convert their requirements into architectural and tooling choices.

⛳️ Requirements

• 3-8 years of experience in data engineering, platform engineering, or ML infrastructure, with practical AI/agent engineering experience.

• In-depth knowledge of data warehouse architecture, pipeline orchestration, and ML Ops.

• Proven experience in developing analytics or data platforms that cater to both human users and automated systems.

• Background in constructing production data stacks across Analytics, ML, and AI.

• Experience in the travel domain is a bonus.

• Proficiency in SQL and Python.

• Familiarity with cloud platforms (e.g., Google Cloud Platform, AWS, or Azure), including cloud data warehouses (e.g., BigQuery), pipeline orchestration tools, and monitoring/alerting systems.

• Experience in building and orchestrating AI agents using foundational LLMs (e.g., Claude, Gemini, OpenAI), along with integrating agents with external tools, APIs, and data sources.

• High level of initiative and ease in navigating uncertainty, with AI being a central aspect of your work — you actively utilize AI tools on a daily basis and consistently enhance your workflows with them to boost productivity.

• Strong product-oriented mindset: you consider data scientists and analysts as your primary users and develop systems that enhance their efficiency and reliability.

• Excellent communication skills, enabling you to connect technical architectural decisions with the requirements of data science and analytics teams.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Opportunities for professional development and continuous learning.

• Dynamic and inclusive work environment.

• Health and wellness benefits.