Support Software Engineer

New
R
ReplicantConversational AI
Location: United States; Secondary Locations: Canada; Workplace: RemoteFull-Time
Salary not disclosed
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Job Details

Required Skills
SalesforceTypeScriptRESTful APIsZendeskDistributed Systems

Requirements

  • Be comfortable reading unfamiliar code and tracing logs.
  • Bring experience with production debugging and distributed systems.
  • Be proficient with REST APIs and authentication, including OAuth 2.0 and similar methods.
  • Use agentic coding tools such as Claude Code, Cursor, or equivalent as a regular part of investigating and fixing issues.
  • Be comfortable maintaining legacy TypeScript code in production.
  • Gather requirements directly from customers and confirm reproduction steps.
  • Coordinate customer testing and explain fixes in plain language, including to frustrated customers.
  • Nice to have: experience with LLM prompting or debugging conversational AI or voice systems.
  • Nice to have: experience with Salesforce, Zendesk, or Jira.
  • Nice to have: experience building internal tools or automations that reduce manual engineering or support work.

Responsibilities

  • Own production bugs, issues, and enhancement requests for live bots and products, including escalations frontline Support Engineers cannot resolve.
  • Investigate platform health across AI Agent behavior and configuration, Conversation Intelligence, telephony, SSO and authentication, integrations, API issues, LLM prompting, and legacy FSM AI Agents built in TypeScript.
  • Trace root causes across logs, code, and internal tooling.
  • Design, implement, test, and ship fixes using agentic coding tools such as Claude Code and Cursor.
  • Serve as the primary customer contact on live issues, gather and confirm requirements, and coordinate testing.
  • Provide technical context and guidance to frontline Support Engineers on escalated issues.
  • Build and maintain internal tools that speed up investigations, fixes, and enhancements.
  • Gather customer feedback for Product and adhere to team SLAs and support metrics.
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