Viral Nation · 7 hours ago
AI Integration Engineer, AI/ML
Viral Nation specializes in building social-first ecosystems for brands, and they are seeking an AI Integration Engineer, AI/ML to translate high-level architectural visions into production-ready reality. This role involves hands-on development, integration, and deployment of AI/ML models and workflows within the GCP ecosystem.
AdvertisingMarketingSocial Media
Responsibilities
You will transform the Principal Architect’s reference architectures into scalable, deployable code using Python, GKE, and Cloud Run
Your primary focus involves building out agentic ecosystems using Google ADK (Agent Development Kit) and Model Context Protocol (MCP), specifically focusing on the Agent-to-Agent (A2A) orchestration patterns defined by the Architect
You will apply advanced prompt engineering and context engineering techniques to optimize LLM performance, ensuring agents maintain state and accuracy over long interactions
You will develop and tune high-fidelity RAG pipelines using the Google RAG Engine and Agent Engine to ensure agents have the precise context required for influencer marketing workflows
The role requires applying machine learning techniques to our massive datasets to implement automated anomaly detection, forecasting, and trend analysis
You will perform advanced data science and analysis by generating and querying high-dimensional video and text embeddings to extract insights from social media content
You will integrate Gemini and Model Garden LLMs into production applications while managing the technical nuances of token limits and context window optimization
Partnering with the Architect, you will implement MLOps practices that track agent performance, cost-efficiency, and ethical AI safeguards within the GCP IAM framework
Qualification
Required
Advanced proficiency in Python is required for AI/ML backend development, data analysis, and API construction
You must possess a deep understanding of prompt engineering strategies (Chain-of-Thought, ReAct) and context engineering to maximize model reasoning capabilities
The position demands deep hands-on experience with Google ADK, MCP, Vertex AI Pipelines, and the Google RAG Engine
You should have practical experience applying classical ML algorithms for regression, forecasting, and anomaly detection on large-scale datasets
The role requires a strong understanding of vector databases and the manipulation of video/text embeddings for semantic search and classification
Deep experience with utilizing GitHub Actions to support the SDLC workflows and CI/CD standards established by the Principal Architect
Preferred
Experience utilizing Snowflake Cortex Analyst, Cortex Search, and Snowflake Intelligence ecosystem
Proficiency in Node.js for full-stack integration layer and tool development is highly regarded
Prior experience in the digital marketing or influencer marketing space is a significant advantage
Experience with containerization and orchestration using Docker and GKE will help scale our autonomous systems
Company
Viral Nation
Viral Nation is a global influencer, marketing, and talent agency.
Funding
Current Stage
Growth StageTotal Funding
$197.85MKey Investors
Eldridge Industries
2022-04-12Private Equity· $197.85M
Recent News
2025-09-30
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