Back
Recognizable employer, metro location and AI title increase applicants, but niche GCP/LLM skills temper competition.
Advanced GCP/LLM and agent expertise is transferable across industries but favors cloud-native enterprise AI backgrounds.
Explicit 7+ years and mandatory GCP, Vertex AI, LLM and agent-framework experience create strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Deliver business-driven AI solutions rapidly by integrating existing cloud AI models and APIs, focusing on practical application over new algorithm development.
Translate business goals into scalable, maintainable AI solutions using Google Cloud AI services integrated into microservices and workflows.
Design, deploy, and monitor intelligent agents with CI/CD pipelines ensuring compliance with corporate policies on responsible and ethical AI.
7+ years of hands-on experience in AI engineering or related roles.
Bachelor's or Master's degree in Computer Science or Software Engineering.
Proven expertise with Google Cloud Platform AI products (Vertex AI, Document AI, BigQuery ML, Agent Development Framework).
Proficiency in Python and SQL programming; experience with microservices architectures and CI/CD pipelines on Google Cloud.
Demonstrated ability to rapidly prototype and implement AI solutions using third-party large language models and prompt engineering techniques.
Experienced in integrating AI services into production microservices with a strong focus on maintainability and observability.
Comfortable collaborating cross-functionally with data scientists, architects, DevOps, and full stack engineers to deliver pragmatic AI applications aligned with business objectives.