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AI Enablement Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Vendelux LLC.
Full Time position
Listed on 2026-06-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Enablement Engineer
Location: New York

Vendelux is transforming how companies discover, evaluate, and maximize the impact of events.

Event marketers are the driving force behind pipeline and brand - yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions.

Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships - where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights.

In addition, Vendelux Meetings helps customers turn event insights into action - using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects s allows teams to maximize pipeline generation and make every event materially more impactful.

Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including First Mark, with a recent $14M round. Our team brings experience from companies like Bain, Zoom Info, Airbnb, Fan Duel, Shutterstock, Compass and more.

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About the Role

AI is no longer an engineering story 's a company story. The way our sales team prospects, the way product researches, the way ops runs processes, the way data answers questions. All of it is changing fast. We're looking for a Staff AI Enablement Engineer to be the technical force behind that change.

This role sits at the intersection of deep AI infrastructure and cross-functional impact. You'll build the MCP servers, agent pipelines, context frameworks, and orchestration layers that make AI genuinely useful across every team - not just for the engineers who've already figured it out on their own. The work is hands-on and technical. The impact is company-wide.

If you're the person at your current company who got everyone on Claude Code, wired up MCP servers for internal tools, and is already running agents 24/7, you might be exactly who we're looking for.

What You’ll Do Build the shared AI infrastructure layer
  • Design, build, and maintain MCP servers that connect our internal systems like Github, Snowflake, Linear, Notion, Slack, and others, to agents running across every function
  • Establish and own our context engineering standards: CLAUDE.md / AGENTS.md conventions, shared context/ directories, architecture docs that make our agents deeply aware of how Vendelux works
  • Build the memory and persistence layer for long-running agents: session continuity, proactive scheduling, cross-session context
  • Own orchestration infrastructure for multi-agent workflows: coordination, sub-agent spawning, token budgets, permission boundaries
  • Maintain codebase health as the system scales: shared component libraries, automated quality gates, fragmentation checks, doc validation in the PR pipeline
Drive adoption across every function
  • Partner with sales, ops, product, marketing, legal, and data teams to identify where AI can fundamentally change how a team works and build the agents that make it happen
  • Get every team to their aha moment fast: preconfigured environments, pre-connected tools, skills they can run immediately without debugging
  • Build and grow a skills marketplace where anyone can package a workflow and share it company-wide so one person’s breakthrough becomes everyone’s superpower
  • Create visibility and healthy competition around AI usage: leaderboards, showcases, Slack channels, all-hands demos that make building contagious
  • Identify force multipliers on every team (the people who get it early) and give them the platform and resources to bring their teams along
Build purpose-built agents for non-engineering teams
  • Each agent isn’t a chatbot. It’s a composition: the right MCP integrations, the right document access, the right memory system, the right workflows assembled into something that genuinely serves a…
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