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.