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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy production-grade Generative AI and Agentic AI applications primarily on GCP using Vertex AI and Gemini models.
Develop and integrate AI applications and agents with enterprise systems, focusing on tool calling, orchestration, memory management, multi-agent communication, and retrieval-augmented generation (RAG).
Ensure scalable, secure, observable, and cost-efficient AI solutions through collaboration with architects, product owners, data engineers, and DevOps teams.
Minimum Requirements
5-8 years of professional experience, including at least 6 years in backend development, data engineering, or a combination.
Strong hands-on experience with Google Cloud Platform (GCP) and Vertex AI including Gemini models.
Hands-on experience with Agentic AI concepts and tools such as tool calling, workflow orchestration, multi-agent systems, and Google Agent Development Kit (ADK).
Graduation degree required. Experience with AWS Bedrock, Azure AI Foundry, or Amazon SageMaker is good to have but not mandatory.
Ideal Candidate Profile
Deep expertise developing scalable, secure, and production-grade AI applications on GCP using Vertex AI and integrating with enterprise cloud-native services.
Proven experience in Agentic AI, multi-agent workflows, AI orchestration frameworks (e.g., LangChain, Semantic Kernel), and retrieval-augmented generation techniques.
Strong programming skills in Python with experience in backend API/microservices development, combined with ability to collaborate across diverse technical teams in an agile environment.