Developer - AI Ops

Responsibilities

• Strong backend development experience in Python, Node.js, Java, or Go.
• Experience building APIs, workflow services, integrations, and automation scripts.
• Hands‑on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations.
• Experience integrating with ticketing and workflow tools such as Zendesk, Jira, Service Now, Confluence, or similar systems.
• Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, and secrets management.
• Experience working with SaaS APIs, webhooks, event‑driven workflows, and scheduled automation jobs.
• Good understanding of GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, or similar tools.
• Ability to build secure, auditable, and reliable operational tooling for enterprise users.
• Familiarity with logging, monitoring, error handling, retries, and operational dashboards.
• Build and maintain Slack‑based AI support workflows for user questions, issue intake, automated responses, knowledge article lookup, and escalation to human support.
• Integrate Slack with backend systems such as Zendesk, Jira, Confluence, knowledge bases, identity platforms, and AI service APIs.
• Develop automation for ChatGPT and Claude license tracking, inactive user detection, license reclaim workflows, provisioning and deprovisioning coordination, and BU‑level spend reporting.
• Build service catalog workflows for AI tool access requests, approvals, onboarding, SLA classification, persona‑based routing, and fulfillment tracking.
• Create integrations with Okta or SCIM or enterprise identity systems for user provisioning, access management, and entitlement validation.
• Support release validation tooling for ChatGPT and Claude by building feature tracking, release checklists, enablement logs, rollout status dashboards, and validation workflows.
• Implement policy and access governance controls for OpenAI API orgs, Claude Enterprise work spaces, service accounts, secrets, RBAC and ABAC rules, and usage restrictions.
• Develop backend services and APIs to support AI Ops reporting, ticket analytics, usage metrics, license data, support trends, and operational dashboards.
• Integrate Serval or the AI support layer with Slack so users can resolve IT and AI‑related queries through knowledge articles, built‑in workflows, or escalation.
• Implement logging, auditability, observability, and error handling for all AI Ops workflows and integrations.