Senior AI Engineer

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Aliz

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python CI Google Cloud API

Job Description

Join us and work with Google


Aliz is conquering the world by building big data and AI solutions as a certified Google Cloud partner. We have offices in Singapore, Jakarta, Münich, and Budapest.


We are looking for a Senior AI Engineer, Multi-Agent Systems who will support our clients as they advance their journey on the Google Cloud Platform (GCP). Are you also passionate about agents and the cloud? If yes, then keep reading.


This role will suit you if

  • you want to work with A+ colleagues, who are also the region's most experienced GCP developers.
  • you have ambitions both to solve customer requirements in a dynamic project environment.
  • working with different people on different problems is refreshing for you.
  • keeping your knowledge up-to-date is just as important to you as sharing it.


You will be responsible for

  • architecting, deploying, scaling, and supporting agentic AI solutions in the cloud.
  • transforming AI experiments into production-ready, stable solutions.
  • implementing your ideas and creating structured code.
  • holding technical training sessions and workshops for our customers.


You will need

  • a university degree in a technical field or equivalent data engineering, data science, or AI/ML engineering experience.
  • 5+ years of experience in application development and 2+ years of experience in generative AI (LangGraph, etc.)
  • proven 2+ years of hands-on GCP experience.
  • proficiency in writing software with Python in a collaborative environment.
  • a deep understanding of software development lifecycles and engineering practices (data pipelines, API workflows, CI/CD, containerization, observability, and security)
  • curiosity and a passion to learn new methodologies and technologies.
  • Fluent communication skills in English.


It would be nice if you also had

  • a thorough understanding of data science workflows, especially in production-level model deployment, operation, and artifact management aspects.
  • knowledge of ML Ops principles, techniques, and tooling
  • familiarity with Agentic libraries, such as ADK, LangChain, LangGraph.
  • client-facing skills and consulting experience.
  • hands-on experience with cloud computing, and experience in multi-cloud environments


You will have the opportunity to

  • use cutting-edge technologies.
  • learn from A+ big data and Google Cloud experts and mentor talented juniors.
  • learn as part of your job by capitalizing on our company-level knowledge management system.
  • maintain a healthy work-life balance by taking advantage of our flexible working hours and home office support.


What our team loves about Aliz

  • “We have projects from Singapore to San Francisco. Complex challenges mixed with the latest technologies. In short, it’s engineering heaven.”
  • “Flat organization structure.”
  • “We are always in the first line to use Google enterprise solutions, so I feel we are pioneers in a pioneering industry.”
  • “I appreciate our open communication and proactive feedback culture which sets the ground for efficient and enjoyable work.”

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