- Agentic Automation (The Builder Role)
- Build Operations Agents: Develop intelligent agents using Vertex AI Agent Builder, LangChain, and Python.
- Infrastructure Interaction: Design 'Function Calling' capabilities that allow Gemini models to securely interact with our infrastructure (e.g., 'Agent, check why this pod crashed and fetch the logs').
- RAG Implementation: Build Retrieval-Augmented Generation pipelines to ground agents in our internal runbooks and architecture documentation.
- AI & MLOps Pipeline Security
- Secure the Supply Chain: Architect hardened MLOps pipelines using Vertex AI and Kubeflow, ensuring strict chain-of-custody for training data and model artifacts.
- LLM Guardrails: Implement security controls for Generative AI endpoints to prevent Prompt Injection, Jailbreaking, and PII leakage (using tools like NVIDIA NeMo or custom GCP logic).
- GCP Infrastructure & Governance
- Infrastructure as Code: Manage ephemeral training environments and persistent inference clusters (GKE Autopilot) using Terraform.
- Policy & Isolation:



Implement VPC Service Controls and Organization Policies to create security perimeters around sensitive BigQuery datasets.
- ML-Specific CI/CD: Build pipelines (Cloud Build/GitHub Actions) that strictly automate model evaluation and bias detection before deployment.
- Security Operations (SecOps)
- Vulnerability Management: Integrate container scanning (Artifact Registry) and SAST/DAST into the ML workflow.
- Identity Architecture: Design 'Least Privilege' access models for both humans and AI agents using Workload Identity Federation.

Technical Requirements

- Cloud Platform: 4+ years of hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI, GKE, BigQuery, and IAM.
- AI Development: Solid proficiency in Python with experience building agents/apps using LangChain or Vertex AI APIs.
- DevOps Tooling: Expert-level Terraform skills and proficiency with GitHub Actions.
- Containerization: Deep understanding of Docker and Kubernetes (including GPU resource management).

📌 DevSecOps AI Engineer (India)
🏢 Kairos Technologies Private
📍 India