Join our team as an AI Infrastructure Architect, focusing on designing and implementing cutting-edge AI solutions. This role involves building custom hardware infrastructure, optimizing performance, and advising on technology choices.

You will also play a key role as a GCP Agentic AI Developer, creating and deploying advanced AI agents. This includes leveraging Google's Vertex AI Agent Builder, Gemini Enterprise Agentic Platform, and Dialogflow CX.

Architect and build custom Artificial Intelligence (AI) infrastructure/hardware solutions. Optimize AI infrastructure/hardware performance, power consumption, cost, and scalability. Advise on AI infrastructure technology and vendor evaluation, selection, and full stack integration.

Develop and deploy AI agents using Google Vertex AI Agent Builder, Gemini Enterprise Agentic Platform, and Dialogflow CX. Integrate LLM-powered reasoning pipelines and build serverless orchestration. Implement APIs and microservices, connect agents with enterprise systems, and collaborate with cross-functional teams.

A minimum of 3 years of experience is required, with a focus on AI infrastructure and agent development.

Proficiency in Python and Node.js is essential, along with hands-on experience with Google Cloud Platform services. You should have a working knowledge of LLM APIs and prompt engineering fundamentals.

Familiarity with agentic frameworks like ADK, LangChain, LangGraph, and CrewAI is beneficial. Experience with RESTful API design, event-driven architectures, and CI/CD pipelines is also valuable. A basic understanding of IAM, VPC, and GCP security best practices is expected.