Agentic AI Developer With GCP - C2
Tasks
- Architect agentic AI solutions with LLMs and RAG
- Build scalable cloud services with Cloud Run and Cloud Functions
- Define enterprise architecture and governance standards
- Design end to end AI and GenAI solutions on Google Cloud Platform
- Design vector database and retrieval workflows
- Ensure IAM security and compliance for responsible AI
- Implement messaging and data pipelines with Pub Sub and BigQuery
- Lead proof of concept prototype and MVP implementations
- Orchestrate LLM agents with LangChain and LangGraph
- Provide architectural guidance to development and DevOps teams
Perks/Benefits
- Elder care
- Flexible work
- Health checks
- Insurance with top-ups
- New parent support
- Partner coverage
- Telemedicine
Skills/Tech-stack
AI vector search | API Gateway | Access Management | Agent architecture | BigQuery | Cloud Functions | Cloud Run | Cloud platform | Data Governance | Gemini | Google Cloud | Google Cloud Platform | Google Kubernetes | Google Kubernetes Engine | Identity and Access Management | Identity and access | Kubernetes Engine | Langchain | Langgraph | Multi-Agent | Multi-agent architecture | Pinecone | Pub/Sub | Responsible AI | Retrieval-Augmented Generation | Vector Databases | Vector Search | Vertex AI | Vertex AI Vector Search | Weaviate
Education
N/A
Roles
AI | AI Developer | AI Solutions | AI Solutions Architect | Agentic AI Developer | Architect | Developer | Solutions Architect
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