AI Engineer & Support Lead
New
J
JobgetherEnterprise AI
Based in BrazilFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- Advanced English proficiency is mandatory
- Required Skills
- PythonRESTful APIs
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Practical experience building LLM-powered applications, AI agents, and retrieval-augmented generation (RAG) or knowledge-base systems.
- Strong understanding of prompt design, tool/function calling, and API integrations.
- Advanced hands-on experience with Claude Code or an equivalent agentic coding tool, demonstrated through real-world solutions delivered to production.
- Strong software engineering skills using Python and/or JavaScript/TypeScript.
- Experience working with REST APIs, cloud services, and webhooks.
- Proven experience developing and operating Slack applications or bots, including familiarity with the Slack API, event subscriptions, and bot deployment.
- Excellent project management, organizational, and communication skills, including serving as a user first point of contact while handling complex technical work.
- Ability to work independently, prioritize support requests and engineering projects, and maintain clear documentation.
- Advanced English proficiency is mandatory for professional communication with US-based clients.
Responsibilities
- Own user onboarding, troubleshooting, and vendor escalations for enterprise AI platforms, including Langdock, Gemini, and internal tools.
- Monitor platform health, usage, and adoption to keep AI tools reliable and effective for business teams.
- Maintain technical documentation, support processes, and operational runbooks.
- Design, build, and maintain integrations, Slackbots, and AI agents connecting enterprise AI tools to internal content, systems, and workflows.
- Incorporate monitoring, evaluation, and reliability practices into development and deployment.
- Assess incoming AI use-case requirements, define scope, prioritize initiatives, and route requests to appropriate platforms or solutions.
- Communicate progress, priorities, and technical decisions to stakeholders.
- Balance platform support with engineering and continuous improvement, owning tasks from initial request through implementation and operation.
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