Zenjob
Engineering
SeniorPlatformEngineer,AIEnablement(f/m/d)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Platform Engineer, AI Enablement (f/m/d) at Zenjob. Skills: AI Enablement, Platform Engineering, LLM Production. Understand operational challenges. Find AI opportunities”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Senior-level engineering experience, Shipped LLM production features, Know prompting, evals, agents, guardrails
Nice to Have
AI/ML libraries and APIs experience, API development experience, Databases experience, Low-code/no-code workflow engines experience, Building internal developer tooling experience, Track record of mentoring or teaching
What You'll Do.
Understand operational challenges
Find AI opportunities
Run enablement sessions
Set reusable patterns
How You'll Work.
Team & Collaboration
Internal teams; Cross-functional teams
Communication Scope
Teaching; Documenting; Pairing
Full Job Description
ABOUT THE ROLE At Zenjob https://www.zenjob.com/en/, we believe that AI will change the way companies work. We embrace this change as swiftly as possible to outpace our competitors, streamline operations, and deliver more value. This role sits on our Platform team and reports to the Director of Platform Engineering. The Platform team builds and runs the foundations the rest of Zenjob relies on, from infrastructure and developer tooling to data and security. AI is the next horizontal capability we are bringing into that scope. Your mission is simple: empower every team at Zenjob to do more with AI. You will spend your days embedded with internal teams, understanding their problems, advising on where AI fits (and where it doesn't), and building the internal tools and platforms that move the needle. You will also help raise the AI baseline across the whole company by teaching, documenting, and pairing with the people who want to build with AI themselves. If that sounds exciting to you, continue reading. YOUR ROLE IN OUR TEAM You are the senior engineer that internal teams come to when they want to "do something with AI." Sometimes that means building a workflow end to end yourself. Sometimes it means pairing with another engineer so they can build it. Sometimes it means telling them they don't need AI at all and pointing to a simpler fix. DAY TO DAY, YOU WILL - Talk to teams across Operations, People, Finance, Sales, Product, and Engineering to understand their operational challenges, and find the AI opportunities with real impact. - Prototype, build, and ship internal AI tools and integrations from first conversation to production rollout. - Run enablement in whatever form works best: office hours, internal workshops, written guides, and 1:1 advisory sessions that help colleagues use AI well and safely. - Set patterns and reusable building blocks (prompts, evals, agent scaffolds, internal APIs, documentation) so teams aren't reinventing the wheel. - Integrate AI model
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