Senior Platform Engineer, AI Enablement

About the role

You are the senior engineer that internal teams come to when they want to "do something with AI." Your mission is to empower every team at Zenjob to do more with AI by embedding with internal teams, understanding their problems, advising on where AI fits, and building the internal tools and platforms that move the needle.

What you'll do

• 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 models and tools into existing systems and processes, and feed your learnings back into our AI infrastructure and platform decisions.

What you'll need

• Senior-level engineering experience and can own a project from idea to production without needing a manager to break it down for you.
• Shipped real things with LLMs in production, not just demos. Knowledge of prompting, evals, retrieval, agents, and the guardrails that keep all of it safe.
• Strong communicator who can talk to a finance lead, a product manager, and a staff engineer in the same afternoon and leave each of them better equipped.
• Enjoy teaching. You write good docs, run useful workshops, and pair generously.
• Pragmatic approach. You ship the smallest useful thing first, then iterate based on what real users tell you.
• Curious and self-driven about where the AI industry is going, and can separate hype from substance.

Nice to have

• AI/ML libraries and APIs: OpenAI, Anthropic, Huggingface, scikit-learn, pandas, NLTK, OpenCV.
• API development: Flask, FastAPI, Node for creating APIs to serve AI models.
• Databases: SQL, NoSQL, vector databases.
• Low-code / no-code workflow engines like n8n, Temporal, Retool Workflows, Zapier.
• Building internal developer tooling, platforms, or shared services that other engineers consume.
• Track record of mentoring or teaching, formally or informally.

What they offer

• 28 vacation days (increasing by 1 every two calendar years up to a maximum of 30 days), 5 days of paid educational leave, 1 paid special leave day per year for voluntary work
• €750 annual training budget per employee, mentoring, career coaching, free language courses
• Hybrid work model: up to 2 days/week remote (1 day in the first 6 months), flexible working hours, modern office in Prenzlauer Berg
• €30 monthly subsidy for Urban Sports Club, private gym in office
• €115.05/month tax-free meal allowance via Circula, free drinks and fruit basket
• €40 monthly NAVIT credit for public transport and bike sharing, company pension scheme