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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, popular AI Engineer title, and broad cloud/LLM skillset drive high competition.
Specialized LLM/Vertex AI and agent-framework expertise limits transferability across industries.
Explicit 7+ years plus mandatory GCP, LLM, Python, and agent-framework experience enforces strict shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Deliver AI solutions by integrating existing cloud AI models and APIs, prioritizing practical implementation over new algorithm development.
Translate business goals into scalable AI-powered microservices and intelligent agents using Google Cloud AI services.
Build and maintain CI/CD pipelines and ensure responsible AI compliance with corporate policies.
Minimum Requirements
7+ years of hands-on experience as an AI Engineer or similar role.
Bachelor's or Master's degree in Computer Science or Software Engineering.
Proven experience with Google Cloud Platform AI services (Vertex AI, Document AI, BigQuery ML, Agent Development Framework).
Strong programming skills in Python and SQL; experience with microservices architecture and CI/CD pipelines on GCP.
Ideal Candidate Profile
Experienced in integrating third-party large language models (OpenAI, Anthropic, Gemini, Azure OpenAI) with mastery in prompt and context engineering.
Skilled in designing and deploying AI-powered intelligent agents and automation within cloud-native microservices environments.
Operates with a structured, process-oriented approach and collaborates effectively with multidisciplinary teams including DevOps and SREs.