We're hiring a Senior Machine Learning Engineer with hands-on experience in Google AgentSpace / Agent Development Kit (ADK)
Join Intellias to build next-generation AI-powered systems with one of the most exciting ML toolkits on the market today! We’re looking for a technically strong and innovation-driven Senior ML Engineer to work on LLM-based agents, autonomous task execution, and cloud-native ML applications.
What you’ll be doing:
* Design and implement intelligent agents using Google AgentSpace or ADK
* Integrate Large Language Models (LLMs) into modular, production-ready AI systems
* Build pipelines for agent planning, memory, context, and API integration
* Work closely with a team of ML engineers and software architects to deploy scalable AI services
* Leverage cloud infrastructure (primarily GCP, optionally Azure) for real-world ML deployment
We expect:
* Master’s or Ph.D. in Computer Science, Mathematics, Data Science, or a related field.
* Experience with Google AgentSpace or Agent Development Kit (ADK).
* Proven experience with LLMs, Generative AI tooling, and applied machine learning.
* Proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow.
* Hands-on experience with Google Cloud Platform (GCP), especially services like Vertex AI.
* Familiarity with agent orchestration concepts and cloud-based ML workflows.
* Experience with MLOps practices, including containerization (Docker) and CI/CD pipelines.
* Strong communication skills with the ability to collaborate across technical and non-technical teams.
* Ability to work during Eastern Standard Time (EST) hours.
Nice to have:
* Exposure to NotebookLM or similar GenAI prototyping tools.
* Google Cloud Professional Machine Learning Engineer certification.
* Experience integrating LLM-powered agents into enterprise or healthcare environments.