Technology Evangelist

Lexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable, and safe Superintelligence. Most of our work involves creating new methodologies for efficient alignment, interpretability-led strategies and foundational model research across enterprise and tabular data. Our mission is to build AI systems that are powerful, transparent, and trustworthy by design.

Our team thrives on deep technical rigor, hands-on ownership, and a strong bias toward building real systems that work in production. At Lexsi.ai, we operate with a flat structure and a culture that values curiosity, initiative, and clarity over noise

a Developer Advoca

Responsibilities:

• Be the public technical voice of Lexsi.ai across meetups, conferences, podcasts, webinars, and developer forums.
• Organize and host developer events such as meetups, workshops, hackathons, and community AMAs to drive adoption.
• Create and deliver product evangelism content including demos, talks, tutorials, and technical walkthroughs.
• Build and maintain reference projects, templates, and integration examples that developers can copy-paste and ship.
• Engage with developers on GitHub issues/discussions and community channels to unblock adoption and build trust.
• Capture developer pain points and feature requests and translate them into actionable inputs for product and engineering.
• Support launches with developer-friendly narratives, release notes, “what’s new” guides, and upgrade pat

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Requirem

• Strong software engineering foundation with the ability to build, debug, and explain real systems.
• Comfort working with APIs, developer tooling, and modern AI/ML workflows in production-like environments.
• Proven ability to communicate complex technical concepts clearly to technical audiences in writing and live settings.
• Experience representing a technical product publicly through talks, demos, workshops, or community leadership.
• Ability to plan and execute community programs like meetups, hackathons, or developer enablement series end-to-end.
• High empathy for developers and strong instincts for what great developer experience feels l

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Nice to Have

• Experience with ML frameworks or MLOps tooling (e.g., PyTorch, TensorFlow, MLflow, Kubeflow).
• Familiarity with LLMs, agentic systems, evaluation stacks, or AI platform products.
• Prior open-source contributions or experience maintaining developer-facing projects.
• Experience producing technical video content, livestream demos, or hands-on training sessions.
• Startup experience with high ownership, speed, and ambiguous problem-solving.