Senior Principal Engineer – AI Content Systems (all genders)

• Design and build serverless, event-driven pipelines that generate content at scale and hold up under re-runs, partial failures and cost limits.
• Make evaluation the main engineering artifact, so we always know whether generation quality is getting better or worse as prompts and models change.
• Design our language experts' judgment into the system: decide what reaches them, capture their decisions as data, and keep human the decisions that must stay human.
• Make every generated item traceable and reproducible, from a reviewer's comment back to the exact prompt, model and input.
• Set technical direction for the engineers around you through design reviews, pairing and clear decomposition of ambiguous work, without managing them.
• Influence product, platform and curriculum leads on what to build next and what to drop.
• Work agent-first: ship with coding agents every day and raise how the team verifies their output.

YOUR SKILLS AND QUALIFICATIONS

• Strong system design, especially serverless and event-driven architectures on AWS or a comparable cloud.
• Shipped production LLM applications that real users depended on, with a real evaluation practice behind them.
• Built data or content pipelines that handle idempotency, versioning, replay and partial failure.
• Led a team technically through a hard deadline or an important change of plan, re-planned with them, and still shipped.
• Worked closely with non-engineering domain experts and turned their judgment into system behaviour.
• Fluent in Python or TypeScript.
• Use coding agents in your daily work, with a habit of verifying what they produce.
• Clear communicator who can hold a technical position with engineers, product and domain experts.

NICE TO HAVE

• Background in computational linguistics, NLP or applied linguistics.
• Experience with educational technology or content platforms.
• Experience with RAG, retrieval systems or agentic workflows in products.
• Experience validating LLM-as-judge setups against human reviewers.
• Public technical work: talks, writing or open source.

WAYS OF WORKING

You are an individual contributor with real influence, not a people manager. Success is measured by what ships, how reliably it runs, and how much faster the team gets because of the systems and standards you put in place.

You work closely with the Content engineers, our language and curriculum experts, and product and platform leads. We are a small, AI-first team in Berlin, working hybrid.

DIVERSITY AT BABBEL

As part of our ongoing journey towards building a diverse, equitable, and inclusive company, we welcome everyone to apply, especially individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements — all candidates are assessed based on skills, qualifications, and our business needs. Please state your pronouns in your application, and let us know if you'd like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us so we can provide proper assistance in the application process.

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 01. Nov. 2026