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
Key Responsibilities
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
15 years full time education
