AI Integration Engineer, AI/ML

Viral

Nation,

we specialize in building social-first

ecosystems for brands to connect with the modern consumer journey.

Our integrated solutions align strategy, talent, media, and

technology with culturally relevant creativity to scale the world’s

fastest-growing digital brands. Viral Nation offers a fluid,

creative, and growth-oriented environment that will support your

ambitions to apply your talents in an open, collaborative, and

fast-paced culture. Our ability to stay at the forefront of the

industry has fuelled our success and will guide us in paving the

path forward. We’re driven to push boundaries and think beyond

today to deliver strategies, and we’re just getting

started.

While we continuously exceed our

goals, we need your help – our success is only as great as our

people. Strong performance leads to high expectations, and we must

keep raising the bar!

Viral Nation is seeking

an AI Integration Engineer, AI / ML to serve as the primary technical

engine translating high-level architectural visions into

production-ready reality. Reporting directly to the Principal

Architect, AI / ML and VP of Engineering, you will be responsible for

the hands-on development, integration, and deployment of AI / ML

models and agentic workflows within our GCP

ecosystem.

What You'll Do

Here :

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.

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.

What You'll Need To

Have :

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.

Nice

To Haves

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.

compensation This role has

an annual salary range of

130,000 to $180,000

This range reflects the full scope and

progression of the role, from building capability to operating with

sustained impact at a higher level. In addition to base salary, we

offer a comprehensive benefits and total rewards package designed

to support our team as they grow with

Where an offer falls within this range is

determined through the interview process. Candidates are

benchmarked by the hiring team based on role scope, relevant

experience, skill alignment, and expected impact, using consistent

and objective criteria.

Compensation

Philosophy :

At Viral Nation, compensation is

structured, performance-led, and market-aligned. Pay decisions are

intentional, based on role requirements, performance, and market

alignment by country, and are set to maintain internal pay equity

across comparable roles and

levels.

Compensation progression is tied