Senior AI Engineer (Google Cloud Platform)

What is the impact you want to make?

Unleash your biggest strengths, apply skills & knowledge, learn new things, connect with your peers and build your career with us!

Why rinf.tech?

#EngineerOfTheFuture, #PeopleofManyTalents

  • At rinf.tech, you’ll encounter friendly people who are eager to explore and reinvent the world of technology.
  • We encourage ideas - we like to share and learn from each other. We’re all in for curious & ambitious people.

#GrowOpportunities

  • We continuously invest in developing core teams focused on technologies like Blockchain, AI, and IoT -  www.rinf.tech/careers/core-blockchain-and-ai-teams/
  • Our Technical Management team, possesses a robust technical background. Many of our team members have advanced to strategic roles through internal promotions.
  • In a state of mutual willingness to share & grow, our RINFers commit to a minimum tenure of 2.5 years on a project.

#EngineeringExcellence

  • Fail fast, learn fast: we experiment, we iterate, we know when to stop and we don't repeat the same mistakes.
  • The right technology stack for the right problem: we don't force technology choices just because we know them; our focus is on solving problems, not on pushing predefined stacks.

#Innovation

Why do we do what we do?

We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, and hardware makers!

Our Vision!

Founded in 2006 with 650+ engineers & global presence (8 delivery centers in Europe & North America) we strive to become a leading East-European technology partner for growing organizations in need of digital transformation of their products and services!

What you’ll do

  • Design, develop, and deploy AI-powered applications and services on Google Cloud Platform.
  • Build and maintain scalable microservices-based architectures using modern development patterns, including API-driven, event-driven, and message-driven architectures.
  • Develop and integrate solutions leveraging GCP AI services such as Vertex AI, Document AI, BigQuery ML, and Agent Development Framework.
  • Work with leading Large Language Models (LLMs), including OpenAI, Anthropic Claude, Gemini, and Azure OpenAI.
  • Apply advanced prompt engineering, context engineering, and retrieval techniques to maximize AI solution performance.
  • Design and implement agentic AI systems using frameworks such as Google Agent Development Kit (ADK).
  • Rapidly build Proofs of Concept (POCs) and MVPs using modern AI development and coding assistant tools.
  • Develop data processing and analytics workflows using BigQuery and related GCP services.
  • Build, optimize, and maintain CI/CD pipelines supporting cloud-native AI applications.
  • Collaborate with product, business, and engineering teams to identify opportunities where AI can create measurable business value.
  • Continuously evaluate emerging AI technologies and recommend innovative solutions.

What you need to be successful

  • Proven hands-on experience developing solutions on Google Cloud Platform.
  • Strong experience with GCP AI products and services, including: Vertex AI, Document AI, BigQuery ML, Agent Development Framework
  • Strong knowledge of third-party LLM platforms, such as: OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI
  • Demonstrated expertise in prompt engineering, context engineering, and LLM orchestration.
  • Strong experience with Python development.
  • Solid understanding of microservices architecture and distributed systems.
  • Experience with API-driven, event-driven, and message-driven development patterns.
  • Hands-on experience building agentic AI applications and autonomous workflows.
  • Experience with Google Agent Development Kit (ADK) or similar agent frameworks.
  • Strong knowledge of BigQuery and cloud-based data processing.
  • Experience designing and maintaining CI/CD pipelines within Google Cloud environments.
  • Familiarity with modern AI coding assistants and rapid prototyping methodologies.
  • Excellent problem-solving and communication skills.
  • Fluent English, both written and spoken.

Nice to have

  • Experience with Retrieval-Augmented Generation (RAG) architectures.
  • Experience with vector databases and semantic search solutions.
  • Knowledge of Kubernetes, Docker, and cloud-native deployment practices.
  • Familiarity with MLOps and AI governance frameworks.
  • Experience working in Agile environments.

What we offer you to be successful

  • Enjoy a flexible working environment with the option to work remotely or in a hybrid model, depending on project needs.
  • Collaborate with global technology leaders, delivering innovative solutions to industry giants such as Intel, NXP, Panasonic, Visteon, Carrefour, Windriver, Kardex, METRO Digital, and many more.
  • Benefit from profit-sharing programs that reward you for identifying new business opportunities.
  • Receive support from Technical Project Managers and HR representatives to guide your professional growth.
  • Be part of a connected community, fostering collaboration through ongoing learning, project rotations, and idea incubation. Plus, enjoy our Football Team, Townhalls, and Fun Office Days!

Next Steps for you!

  • Apply
  • CV screening
  • HR Interview
  • Technical Interview
  • Offer presented by our CEO

Meet us!

Let's meet! We invite you to drop by anytime for a tour of our office, without any commitment.

Join the #PeopleofManyTalents #EngineerOfTheFuture