AI Infrastructure Architect

Project Role : AI Infrastructure Architect
Project Role Description : Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost and scalability of computational stack. Advise on AI infrastructure technology and vendor evaluation, selection and full stack integration.
Must have skills : Agent Development
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

1 GCP Agentic AI Developer

Level Mid Level
Experience 3 to 5 Years
Work Mode Remote or Hybrid
Employment Full Time

Develop and deploy AI agents using

Google Vertex AI Agent Builder
Gemini Enterprise Agentic Platform services
Dialogflow CX
Related GCP services

Integrate LLM powered reasoning pipelines using

Gemini
Tool use patterns
RAG
Memory patterns

Build and maintain serverless orchestration using

Cloud Run
Cloud Functions
Pub Sub

Implement APIs and microservices using

Python
Node js

Connect agents with enterprise systems

Collaborate with ML engineers and product managers in Agile sprints

Participate in code reviews

Contribute to technical documentation

Required Skills and Qualifications

3 to 5 years of software development experience

Hands on experience with Google Cloud Platform services including

Vertex AI services
Gemini Enterprise Agentic Platform services
Cloud Run
Google Cloud Storage
Pub Sub
BigQuery

Working knowledge of

LLM APIs
Prompt engineering fundamentals

Proficiency in

Python
Node js

Familiarity with agentic frameworks such as

ADK
LangChain
LangGraph
CrewAI

Experience with

RESTful API design
Event driven architectures
CI CD pipelines

Basic understanding of

IAM
VPC
GCP security best practices

Strong problem solving ability

Growth mindset


Qualification
15 years full time education