6 часов назад
Cloud AI Engineer (GCP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cloud AI Engineer (GCP): Building and operating production AI agents, RAG pipelines, and cloud services on Google Cloud Platform with an accent on Python, Vertex AI, retrieval systems, and LLM application development. Focus on designing reliable agent workflows, evaluating and monitoring model behaviour, optimizing cloud infrastructure, and integrating AI systems with operational data and APIs.
Location: Vancouver, Canada
Company
builds digital products and delivers technology solutions for its clients.
What you will do
- Design, build, deploy, and operate production-grade AI agents and multi-agent workflows using modern LLM frameworks.
- Build end-to-end retrieval-augmented generation pipelines, including document ingestion, parsing, embedding, indexing, retrieval, re-ranking, and grounded generation.
- Deploy containerized AI services and APIs on Google Cloud Platform using Cloud Run, Cloud Functions, Vertex AI, and supporting cloud infrastructure.
- Develop batch and streaming data pipelines, optimize SQL and data models, and integrate APIs, databases, files, and third-party services.
- Implement evaluation, monitoring, tracing, logging, alerting, and incident response for LLM and agent systems.
- Document AI architectures and operational practices and support colleagues and clients in adopting the systems.
Requirements
- Production application development experience on Google Cloud Platform, especially Cloud Run, Cloud SQL, and Vertex AI.
- Strong Python skills and experience building maintainable services and applications.
- Hands-on experience shipping at least one production RAG or agentic LLM application.
- Familiarity with agent frameworks and orchestration patterns such as ADK, LangGraph, or LlamaIndex.
- Solid SQL and BigQuery experience, plus Docker-based containerization and deployment.
- Experience evaluating and monitoring AI systems in production and working with collaborative Git-based development practices.
Nice to have
- Experience with Google's Agent Development Kit, Vertex AI Agent Engine, Model Context Protocol, or LLM observability and evaluation tools.
- Google Cloud certification and experience with Terraform, CI/CD, workflow orchestration, or traditional machine learning.
- Frontend or full-stack experience, data visualization skills, or client-facing consulting experience.
- Strong analytical, communication, collaboration, security, and privacy-conscious skills.
Culture & Benefits
- Competitive salary and benefits package.
- Professional development and growth opportunities.
- Dynamic and innovative work environment.
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