Platform Engineer - AI Tools
Core
Own the infrastructure and architecture behind internal AI tools from prototype through production, building integrations with company systems and managing CI/CD.
Role type
Senior Platform Engineer (AI Infrastructure)
Builds
Internal AI tools and integrations with Salesforce, Google Workspace, Slack, and data warehouses
Domain
Cloud Infrastructure & AI Operations
Deliverable
infrastructure
Required skills
Kubernetes, Terraform, Python, Go, LLM API integration, Identity & Access Control, Secrets Management, CI/CD
Preferred skills
MCP, agent frameworks, LLM gateways, observability tools (LiteLLM, Langfuse, Helicone), Salesforce/Slack/Databricks integrations
Technologies
Kubernetes, GCP, AWS, Terraform, Pulumi, Python, Go, Salesforce, Google Workspace, Slack, Databricks, LiteLLM, Langfuse, Helicone
Responsibilities
Manage CI/CD, environments, and infrastructure as code for internal AI applications; Implement access controls, data permissions, secrets management, and audit logging; Monitor uptime, adoption, and cost to determine scaling or retirement; Evaluate AI tools and models and recommend adoption decisions
Seniority
Senior, hands-on IC
