Senior AI Engineer at Aliz

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

0.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions, Cloud Computing, Python, Generative AI, Data Engineering, Data Science, Software Development, CI/CD, Containerization, Observability, Security, ML Ops, Agentic Libraries, Client-Facing Skills, Consulting Experience

Industry

IT Services and IT Consulting

Description

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.) 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 and Hungarian. 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. You will have the opportunity to use cutting-edge technologies. learn from A+ big data and Google Cloud experts. 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. About Aliz Aliz was founded by a group of driven software engineers with one vision in mind: Build a human-centered company to solve exciting business challenges with cutting-edge technologies all around the globe. Our team includes engineers, industry experts, and digital professionals who ensure our clients are ready to face the challenges of the ever-changing digital world. Aliz is a proud Google Cloud Partner with specializations in Infrastructure, Data Analytics, Cloud Migration, and Machine Learning. We deliver data analytics, machine learning, infrastructure, and application development solutions, off the shelf, or custom-built on GCP using an agile, holistic approach. Recently we've launched our very own cloud cost optimization tool Rabbit. Life has been pretty exciting at Aliz recently (here's proof). After we became Google Cloud’s Breakthrough Partner of the Year in APAC (2019), we built a team in Singapore and Berlin, opened an engineering hub in Jakarta, launched a business in Italy and Qatar, and started to support IT education. You couldn’t pick a better time to join this world-class team of cloud experts.

Responsibilities

You will be responsible for architecting, deploying, scaling, and supporting agentic AI solutions in the cloud. Additionally, you will transform AI experiments into production-ready solutions and hold technical training sessions for customers.