AI Developer Experience Engineer

New
NetherlandsFull-Time
Salary not disclosed
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Job Details

Required Skills
Software EngineeringLLMLangChain

Requirements

  • Proven experience building and delivering production-grade software systems with a strong focus on maintainability, scalability, and engineering best practices.
  • Hands-on experience developing applications, integrations, or tooling powered by large language models, AI agents, or related technologies.
  • Strong knowledge of AI frameworks, orchestration platforms, and development tools such as LangChain, LlamaIndex, or similar ecosystems.
  • Demonstrated experience using AI coding assistants and agent-based development tools as a core component of the software development workflow.
  • Excellent problem-solving and consulting skills, with the ability to translate business challenges into technical solutions.
  • Strong stakeholder management and communication skills, capable of working effectively with both technical and non-technical teams.
  • Ability to independently manage projects from concept through delivery while proactively identifying risks and opportunities.
  • Experience designing developer-focused platforms, internal tooling, developer experience initiatives, or platform engineering solutions is highly desirable.
  • Familiarity with observability, telemetry, monitoring systems, and performance optimization within AI-powered environments is preferred.
  • Exposure to blockchain, cryptocurrency, fintech, or other rapidly evolving technology sectors is considered an advantage.

Responsibilities

  • Design and develop AI-powered onboarding systems that recommend tools, workflows, and learning paths tailored to different teams and roles.
  • Build, maintain, and scale the infrastructure supporting AI applications, ensuring reliability, performance, observability, and seamless adoption across the organization.
  • Create custom internal applications, platforms, and integrations that leverage AI agents and large language models to improve workflows and productivity.
  • Partner with stakeholders across engineering, product, marketing, operations, legal, and compliance teams to identify bottlenecks and implement AI-driven process improvements.
  • Research, evaluate, integrate, and configure emerging AI tools, frameworks, and agent platforms to support evolving business needs.
  • Develop and promote best practices for AI-assisted software development and internal tooling.
  • Implement monitoring, telemetry, and performance measurement systems to ensure AI solutions remain scalable, reliable, and effective.
  • Drive adoption of AI technologies by enabling teams with practical solutions, training, and ongoing support.
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