Remote job
(1607) AI Engineer & Support Lead
Job details
About this role
Role overview
Support adoption of enterprise AI tools while building the integrations, agents, and chatbots that connect them to internal information and workflows. This role combines hands-on AI engineering with day-to-day platform support: guiding users, managing incoming requests, and making sure deployed solutions are monitored, evaluated, and documented. The listing describes a talent network for roles that may open in the future.
Responsibilities
- Own user support for enterprise AI platforms, including onboarding, troubleshooting, and coordinating vendor escalations. - Monitor platform health and adoption, and keep operational runbooks and documentation current. - Build integrations, workplace chatbots, and agents that connect AI tools with internal content and business workflows. - Operate production solutions with appropriate monitoring and evaluation. - Triage incoming AI use cases, scope and prioritize requests, select suitable tools, and keep stakeholders informed. - Balance independent engineering work with a mixed queue of support requests, while documenting decisions and processes.
Requirements
- Bachelor’s degree in computer science, engineering, or a related discipline. - Practical experience building LLM applications, agents, or retrieval-augmented knowledge systems, including prompt design, tool calling, and API integration. - Shipped work using an agentic coding assistant such as Claude Code or an equivalent tool. - Strong engineering skills in Python and/or JavaScript or TypeScript, REST APIs, cloud services, and webhooks. - Experience building and operating Slack apps or bots, including event subscriptions and deployment. - Strong project coordination and communication skills, with the ability to support users while working through technical details. - Independence in prioritizing concurrent support and development work; advanced English is required for work with US clients.
Benefits and work setup
The source describes fully remote work with a LATAM team and optional coworking spaces. Listed offerings include paid time off according to local rules, national holidays, sick leave, a yearly health and wellbeing credit, and a birthday day off.