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

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

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