LaunchDarkly's AI Specialist scales AgentControl from initial market validation to an industry-leading product, bringing deep AI agent expertise to prospects and customers.
Responsibilities
- ▹Spearhead early-stage evaluation, implementation, and adoption of AgentControl with customers
- ▹Develop and document Solutions Engineering playbooks and best practices
- ▹Collect and propagate product feedback into product development
- ▹Build integrations, technical content, whitepapers, and demos for strategic engagements
- ▹Publicly evangelize AgentControl at conferences, webinars, and partner engagements
Requirements
- ▹Extensive experience with AI applications, including building, implementing, or selling AI solutions at scale
- ▹Experience building multi-agent systems using frameworks like LangGraph, AgentBuilder, or AgentCore
- ▹Hands-on experience evaluating AI agent performance using automated evaluation methods
- ▹Deep understanding of LLM mechanics and transformer architecture
- ▹Strong Python skills, with experience in PyTorch or TensorFlow
- ▹Typically requires a minimum of 12 years of related experience
Nice to have
- ▹Experience building or interfacing with MCP (Model Context Protocol) servers
- ▹Strong but loosely-held opinions about AI, updated based on evidence
Soft skills
Natural storyteller who crafts compelling narratives for technical audiencesThrives in ambiguity and undefined spaces
About the company
LaunchDarkly's AgentControl is revolutionizing how AI engineers release, monitor, and optimize their agents.
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