Generative AI Engineer – Google Cloud; Gemini Enterprise
Job Description & How to Apply Below
# Generative AI Engineer – Google Cloud (Gemini Enterprise),January 12, 2026###
Job Description We are looking for a
** Generative AI Engineer
** with strong experience on
** Google Cloud Platform (GCP)
** to join our client’s on-site team in Dubai. This role focuses on designing, building, and deploying
** enterprise-grade GenAI solutions
** using
** Gemini models and Google’s AI ecosystem**. You will work closely with engineering, data, and business teams to deliver scalable, secure, and production-ready Generative AI systems.
---###
** What You’ll Do
*** Design and implement
** Generative AI solutions
** using
** Gemini Enterprise
** on Google Cloud
* Build and deploy LLM-based applications, including
** RAG architectures**, prompt engineering, and evaluation pipelines
* Integrate GenAI capabilities into enterprise platforms and workflows via APIs and microservices
* Develop and maintain
** data pipelines
** for ingestion, embedding, and vector search
* Deploy, monitor, and optimise GenAI workloads on
** GCP** (Vertex AI, Big Query, Cloud Run, GKE)
* Ensure security, compliance, and responsible AI practices in enterprise environments
* Collaborate with stakeholders to translate business requirements into technical architectures
* Contribute to documentation, best practices, and internal GenAI standards---###
** What We’re Looking For
**** Required Skills & Experience
*** Strong hands-on experience with
** Google Cloud Platform (GCP)
*** Practical experience with
** Gemini models / Gemini Enterprise
** or Vertex AI Generative AI
* Solid background in
** Generative AI and LLM-based systems
*** Experience building
** RAG pipelines
** using vector databases and embedding models
* Proficiency in
** Python
* * for AI and backend development
* Experience integrating AI services via REST APIs
* Understanding of model evaluation, prompt optimisation, and performance monitoring
* Strong communication skills and ability to work on-site with cross-functional teams---###
** Nice to Have
*** Experience with
** Vertex AI Pipelines**, Model Garden, and MLOps workflows
* Familiarity with vector databases (e.g. Vertex AI Vector Search, Pinecone, Weaviate)
* Knowledge of data platforms such as
** Big Query
* ** Experience deploying AI services using
** Cloud Run
** or
** GKE
* ** Certifications such as
** Google Cloud Professional Machine Learning Engineer
*** Experience with AI governance, security, and enterprise compliance--
- *
* Location:
** Dubai, UAE
** Work Model:
** On-site
** Role Type:
** Full-Time
** Visa/Sponsorship:
** Provided for eligible candidates
Location,Experience level
Mid–Senior level## Work Location
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