Senior ML Engineer (with Google Agentspace experience)

Vacancy details
AI/ML Engineering
Machine Learning Engineer
Senior
Colombia, 
Croatia, 
Poland, 
Portugal, 
Spain
Remote

We have a vision: to transform industries through the power of digital technology. At Intellias, you’ll work alongside top-tier engineers to build cutting-edge solutions that shape the future. Let’s code what’s next—together.

What project we have for you

Are you a Machine Learning Engineer passionate about Generative AI, Large Language Models (LLMs), or cutting-edge agent-based systems? Do you enjoy working at the intersection of innovation and impact? If so, join our team to develop intelligent solutions that transform business operations and accelerate digital transformation.

What you will do

  • Lead or contribute to the design, development, and deployment of LLM-powered agents using Google AgentSpace.
  • Integrate state-of-the-art foundation models (e.g., Gemini, Claude, GPT) into internal business workflows.
  • Build and test agents leveraging tools such as Agent Builder, Agent Engine, Agent Development Kit (ADK), and NotebookLM.
  • Develop components for Retrieval-Augmented Generation (RAG), prompt engineering, and multi-step reasoning.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to align solutions with strategic goals.
  • Ensure scalability and production readiness of solutions, including deployment, documentation, and coordination with platform teams.
  • Contribute to the continuous improvement of MLOps practices and development pipelines.

What you need for this

  • Master’s or Ph.D. in Computer Science, Mathematics, Data Science, or a related field.
  • 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:

  • Experience with Google AgentSpace or Agent Development Kit (ADK).
  • 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.

What it’s like to work at Intellias

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Skills

English
GCP
GenAI

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