Senior Enterprise Support Engineer (AI)

Location: Remote, United States

Company

hirify.global is an AI-first startup helping enterprise customers deploy LLM-powered applications and systems.

What you will do

• Lead technical engagements with enterprise clients, advise executives and engineering leaders, uncover workflow issues, and manage high-stakes de-escalation calls.
• Investigate, reproduce, and resolve production incidents across web applications, REST APIs, webhooks, microservices, and databases.
• Use SQL, cloud observability tools, JSON tracing, browser DevTools, and source-code inspection to identify root causes.
• Configure, test, and deploy AI agents using Claude Code, Cursor, Copilot, and LLM APIs for log analysis, triage automation, and knowledge-base creation.
• Build support infrastructure, SLAs, escalation paths, and diagnostic runbooks for enterprise accounts.
• Partner with Product and Engineering to turn recurring customer issues into product specifications, bug fixes, and feature improvements.

Requirements

• 4+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role.
• Experience presenting to and advising enterprise stakeholders through live video calls, with strong verbal and written communication.
• Hands-on SQL experience with relational and cloud databases.
• Experience analyzing logs with CloudWatch, Datadog, Splunk, Grafana, or Loki.
• Understanding of REST APIs, JSON payloads, webhooks, HTTP status codes, browser DevTools, and enterprise authentication protocols including SSO, SAML 2.0, OAuth 2.0, and Okta.
• Daily practical experience with generative AI and agentic coding tools for log parsing, code navigation, and workflow automation.

Culture & Benefits

• Work closely with customers, Product, and Engineering on complex enterprise AI systems.
• Operate with direct ownership and impact in a fast-growing, revenue-generating startup.
• Help shape support processes and the customer experience for Fortune 500 companies.
• Gain exposure to large-scale AI deployments and fast product cycles.