Babbel

More roles at Babbel

Senior Principal Engineer – AI Content Systems (all genders)

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Berlin

Employer listed it 6 days ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Hybrid · Berlin

Timezone

Not stated

Contract

Full-time

Experience

Lead

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: We are an AI-first, independent company within the Babbel group, based in Berlin.
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Berlin, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "Berlin, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
No pay is stated. Ask for the salary range before investing time in interviews.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About Babbel Labs

Babbel Labs is building the future of language learning. We are an AI-first, independent company within the Babbel group, based in Berlin. Our teams bring AI, research and product together to ship experiences that set a new standard for how people learn.

The role

Babbel Labs is looking for a Principal Engineer to own our AI content systems end to end. Starting from nothing, together with our learning content experts, these systems create all of our content: the curriculum itself, and the thousands of exercises built on it, with text, images and audio generated by models and judged by experts.

Your main goal: set a high bar, and design a robust, verifiable system that turns our experts' skills into real outcomes for learners.

This is an Individual Contributor role with influence across Engineering, Content and Product. You design and build the systems yourself, set the technical direction for the engineers working on them, and work closely with the language and curriculum experts who own the quality bar.

We move fast and get things done. When something important comes up, we adapt the roadmap, and you help the team re-plan and keep shipping.

How you'll make an impact

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.

Requirements

·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.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Babbel, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 25d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.