AI Enablement Lead, WROCŁAW

• 5+
  years of hands-on Software Engineering experience: Your specific tech stack
  (JS/TS, Python, PHP, Go, Java) matters less than genuine engineering
  fluency. You must be able to speak the "developer's language"
  credibly.
• Scripting
  & Prototyping: Working competence in at least one language like Go,
  JavaScript/TypeScript, or PHP to build integrations, glue code, and
  prototypes.
• Practical
  AI/LLM Experience: 1+ year of deep, hands-on experience with LLMs (Claude, GPT,
  etc.) beyond casual use. You understand prompt design, agentic workflows,
  and the real-world strengths/limits of current models. (Recent
  depth counts more than tenure).
• AI
  Workflows: Proven
  experience configuring or building AI-assisted developer tools (e.g., AI
  coding assistants, RAG architectures, agents).
• Integration
  & Systems: Strong
  API integration skills (RESTful services, auth, webhooks) and solid
  command of standard Git workflows.
• Security
  Awareness: Sound
  understanding of data security, privacy, and access-control basics when
  handling sensitive company data.

Soft Skills & Mindset

• Exceptional
  Communication: You
  can explain complex technical concepts to both engineers and non-technical
  teams. You write playbooks, docs, and training materials that people actually use. (Note:
  This is a communication-first role; technical brilliance cannot offset a
  lack of communication skills).
• Enablement
  & Mentoring: Proven
  experience in mentoring, technical onboarding, running internal talks, or
  building communities of practice.
• Influence
  Without Authority: You know how to build enthusiasm, drive adoption, and shift
  behaviors across teams that do not report to you.
• Public
  Speaking: Comfortable
  facilitating workshops and presenting to groups (or possessing a clear
  aptitude and willingness to develop this skill quickly).
• Self-Directed
  Problem Solver: You
  are proactive, highly analytical, and comfortable defining your own
  roadmap in an emerging, ambiguous space.
• Language
  Proficiency: English
  at a B2 level is the absolute minimum, but C1 is strongly
  preferred due to the heavy focus on company-wide written and
  spoken communication.

Nice to have:

• Specific
  AI Stack: Hands-on experience with Claude Cowork and MCP (Model
  Context Protocol) is highly preferred (though a strong engineer can learn
  this quickly).
• DevRel
  Background: Prior experience in Developer Advocacy, Developer
  Relations, or formal internal technical enablement.
• Technical
  Writing: Experience creating formal technical documentation,
  courseware, or developer-facing content.
• Frontend
  Basics: Familiarity with a modern frontend framework (React/Next.js)
  for building internal tools, dashboards, and demos.
• Data
  & RAG Context: Comfort with SQL and exposure to NoSQL or vector
  databases.
• Infrastructure: Working knowledge of
  Docker, CI/CD concepts, and containerized environments (Kubernetes is a plus).