SE- AI

Ovii's Interpretation of the Role

We are looking for a mid‑level software engineer to build, monitor, and operate AI agents on Google Cloud. The role blends MLOps, observability, and cloud infrastructure automation to ensure reliable AI services in production.

Role Snapshot

• Deploy AI agents
• Implement observability
• Build CI/CD pipelines
• Own cloud infrastructure
• Manage environments & reliability
• Detect model drift

Must-Have Requirements

• Google Cloud Platform services
• CI/CD automation
• Infrastructure as Code
• DevOps/MLOps experience
• Familiarity with deploying LLM or AI agent workloads
• DevOps
• MLOps
• platform engineering

Nice-to-Have Signals

• OpenTelemetry
• Vertex AI
• Gemini Enterprise Agent Platform
• ADK
• observability with OpenTelemetry
• Vertex AI platform experience

Work Setup

• Location: Noida, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Remote eligibility
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Deploy and instrument AI agents for testing and monitoring
• Set up observability – traces, logs, metrics – and continuous evaluation on production traffic
• Build drift detection and alerting to catch quality regressions early
• Own the cloud infrastructure and CI/CD automation supporting the platform
• Manage environments, access controls, and operational reliability

Good Fit If You Have

• Familiarity with deploying LLM or AI agent workloads
• Experience with OpenTelemetry for observability
• Exposure to Vertex AI, Gemini Enterprise Agent Platform, or ADK
• Strong hands‑on experience with Google Cloud services
• 3+ years in DevOps, MLOps, or platform engineering