About the Role
Title: Senior AI Platform Engineer Location: Remote (US/Canada) Duration: Long Term The Senior AI Platform Engineer focuses on building and integrating platform capabilities with a strong
emphasis on software engineering, GitHub Actions based CI/CD automation and Terraform-driven
Infrastructure as Code (IaC). The role involves developing scalable, cloud-native services (leveraging
Cloud Run), integrating Agentic AI capabilities using Vertex AI and GCP LLM services, and enabling
event-driven, API-led workflow orchestration on Google Cloud.
Key Responsibilities
Build and integrate backend services and APIs (REST/gRPC) to enable platform workflows and
AI-driven interactions.
Develop and integrate AI capabilities using Vertex AI and GCP AI services to support intelligent
automation and workflow execution.
Leverage AI-assisted development tools to accelerate code generation, testing, and delivery of
platform components.
Implement event-driven integrations using GCP services (e.g., Pub/Sub) for reliable,
asynchronous communication across systems.
Design and develop cloud-native applications deployed on Cloud Run for scalable, serverless
execution.
Author and maintain Terraform modules for Infrastructure as Code (IaC), covering networking,
security, and application deployment.
Build and maintain CI/CD pipelines using GitHub Actions for automated application delivery,
infrastructure provisioning, and validation.
Integrate APIs and external systems to enable end-to-end workflow automation and
extensibility.
Implement logging and monitoring using GCP-native services to ensure observability and
operational readiness.
Apply strong understanding of GCP architecture and core services (networking, IAM, compute,
and storage) as a mandatory foundation for all implementations.
Support data validation and schema enforcement to maintain consistency across platform
workflows.
Optimize application performance and AI interactions (prompt tuning) during pilot and
production phases.
Implement security best practices including RBAC and secrets management.
Support testing, release management, and production readiness, including rollback and issue
resolution. Qualifications: Required
5+ years in platform or cloud engineering, with 3+ years on GCP.
Hands-on experience building AI/ML
pipelines and agentic API integrations.
Proficiency with Terraform for enterprise IaC
module development.
Strong Python development skills for API and
agent implementation.
Experience with RAG pipeline
implementation and LLM API integration.
Hands-on CI/CD pipeline development
(GitHub Actions, Cloud Build, or equivalent).
Experience with Cloud Run, GCP networking,
IAM, And Cloud Logging. Preferred
GCP Professional DevOps or Cloud Developer certification.
Experience with event streaming platforms
(Pub/Sub,).
Prior integration work with enterprise
chatbots or service agent platforms.
Familiarity with tfsec, tflint, and Terraform
policy enforcement tooling.
Experience implementing secrets
management (GCP Secret Manager).
Exposure to performance testing and
production readiness validation in regulated
Environments. Key Deliverables Ownership
AI agent implementation REST/gRPC API layer RAG pipeline & ETL
Terraform IaC modules CI/CD pipelines GitHub App integration
Cloud Logging & SIEM Schema validation layer RBAC & secrets management
Performance & rollback testing Pilot defect remediation