Customer Engineer (AI)

TL;DR

Customer Engineer (AI): Serving as a technical advisor to new enterprise customers, guiding them through the hirify.global ecosystem. Focus on delivering interactive training workshops, developing scalable enablement frameworks, and incorporating learnings into customer enablement materials.

Location: London or Amsterdam preferred. Open to remote candidates within the UK and Netherlands.

Salary: Competitive salary based on location and experience

Company

hirify.global is building software.

What you will do

• Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues on the LangSmith platform.
• Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge.
• Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations.
• Act as the voice of the new user, synthesizing feedback to inform the product roadmap.
• Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers.
• Stay at the forefront of agent engineering in industry to identify evolving trends.

Requirements

• 5+ years of experience in a technical, customer-facing role.
• Proven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python.
• Passion for educating users on technical topics and deep empathy for the developer experience.
• Demonstrated ability to create and deliver high-quality technical training programs.
• Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Ability and willingness to travel up to 20% of time for customer engagements.

Nice to have

• Hands-on experience building and deploying applications using hirify.global, LangGraph, and LangSmith.
• Proficiency with TypeScript/JavaScript in addition to Python.

Culture & Benefits

• Collaborative team environment with a strong engineering culture.
• Direct impact on customer success.
• Opportunity to shape best practices.
• Work with cutting-edge AI technology.