Engineering Department (all applications) - m/w/d

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Engineering Department (all applications) - m/w/d Berlin | OnSite HELP US CHANGE THE WAY THE WORLD WORKS BUILD SOMETHING THAT MATTERS. Langdock exists to change the way the world works, bridging the gap between what technology can do and what people actually do with it. We bring all leading AI models into one secure, model-agnostic platform and make them usable across entire organizations. Over 6,000 companies use our platform every day, from fast-growing startups to some of Europe's largest enterprises. Their employees open Langdock to draft strategies, analyze documents, or automate workflows - helping them to work smarter, think more creatively, and reach their full potential. WHAT YOU WILL ACTUALLY DO Ship features across our AI engine that orchestrates the newest model releases from all relevant AI labs through a unified abstraction layer. This includes prompt caching, automatic failover across deployments, and middleware that transparently repairs provider specific quirks. Build resumable streaming infrastructure where users can disconnect mid response and pick up exactly where they left off. Design retry logic that continues generation from the exact stopping point when providers fail mid stream. Build and extend our workflow automation system where agents can pause for human input, extract structured outputs from free form conversations, and chain together actions across hundreds of integrations. Implement distributed loop orchestration with Redis coordinated concurrent execution and race condition prevention. Work on cutting edge infrastructure including Model Context Protocol, agent to agent communication, and retrieval augmented generation pipelines with multiple vector stores. Solve problems like

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