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LaunchDarkly

Solution Engineer (AgentControl)

Remote - US (Remote)midAdded today

About this role

LaunchDarkly seeks an expert Solution Engineer to drive adoption and shape the future of AgentControl, a platform for AI engineers to release and monitor agents. You'll combine deep AI expertise with hands-on technical leadership—building integrations, demos, and strategic content while guiding product development through direct customer feedback and market insights.

What you'll do

  • Deliver expert-level solutions engineering, leading POVs and implementations with key customers to drive AgentControl adoption and revenue
  • Develop and document Solutions Engineering playbooks, best practices, and enablement materials alongside the AI SME team
  • Gather and prioritize product feedback from customer engagements, collaborating with product and engineering to shape the roadmap
  • Build integrations, technical content, whitepapers, tutorials, and customized demos tailored to strategic customer needs
  • Evangelize AgentControl publicly at conferences, webinars, and partner engagements while supporting field team enablement
  • Partner on technical relationships with strategic partners and ensure the product roadmap tracks market demand for AI developers

What they're looking for

  • AI applications and multi-agent systems (LangGraph, AgentBuilder, AgentCore)
  • LLM mechanics and transformer architecture fundamentals
  • Python development with PyTorch or TensorFlow experience
  • AI agent performance evaluation and monitoring at scale
  • Model Context Protocol (MCP) server implementation and integration
  • Solutions/sales engineering and technical communication
  • Software architecture design and documentation
  • Product feedback synthesis and market trend analysis
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LaunchDarkly

LaunchDarkly builds a platform for feature management, AI configuration, and observability that helps teams control, monitor, and safely deploy software. The company is hiring Full Stack Engineers, SDK developers, and security specialists to expand its core platform capabilities, including AI-powered onboarding, release safety monitoring, enterprise integrations, and developer security tooling.

View all jobs at LaunchDarkly

Likely interview questions

  • Walk us through a multi-agent system you've built—what frameworks did you use, and how did you evaluate agent performance at scale?
  • Describe your experience selling or implementing AI solutions. How did you help customers adopt new AI technology?