We are looking for a senior, hands-on AgentOps Platform Engineer to design, build, and operate the cloud-native infrastructure that powers our AI agents at scale.
This is a lead-by-example role:
You write the Terraform
You build the pipelines
You own the platform in production
GCP is your primary setting, but you will design with multi-cloud in mind (AWS, Azure), ensuring portability, resilience, and long-term flexibility. This role sits at the intersection of DevOps, MLOps, and AgentOps, with deep responsibility for reliability, security, observability, and cost.

KEY RESPONSIBILITIES

Platform & Infrastructure Ownership
Design, build, and operate production-grade infrastructure for AI agents and LLM services
Own Terraform-based Infrastructure as Code for all environments (dev, uat, prod)
Lead infrastructure decisions through hands-on implementation, not diagrams
Build scalable foundations for: Agent orchestration Inference services RAG pipelines Vector stores
Optimise cloud resources for performance and cost efficiency
AgentOps & AI Platform Enablement
Enable safe,



continuous operation of autonomous agents
Design agent runtime environments with: Isolation & sandboxing Failover and recovery strategies Controlled rollout mechanisms
Support prompt/version management, agent configuration, and tool/plugin lifecycle
Work closely with Agentic RAG engineers to operationalise research into production
CI/CD & Automation
Build and maintain CI/CD pipelines for: Infrastructure Agent services Prompt and config changes Model/version rollouts
Automate workflows for: Vector DB updates RAG index refreshes Agent memory stores Tool registration and validation
Reduce manual ops toil aggressively through automation
Observability & Production Readiness
Design and implement deep observability for agent systems: Platform health Agent execution metrics Latency, cost, and throughput Failure modes and retries
Build dashboards, alerts, and telemetry using: Prometheus Grafana OpenTelemetry

📌 AgenticOps Platform Engineer Lead (India)
🏢 Bridge AI
📍 India