We start with one use case, fixed in scope, and take it live in 6–8 weeks through our Production Sprint. From there we extend it into a production data and AI platform and keep that platform running.

What we do:
• Production Sprint: one AI use case in production in 6–8 weeks
• Data & AI Platform Build: lakehouse and warehouse modernisation, ETL/ELT and migration from legacy systems
• Production AI Systems: RAG, document intelligence and AI agents on governed enterprise data
• On-prem RAG & AI Agents: open-source LLMs on servers in your own environment
• Managed Data & AI Platform: ongoing operation with engineer-reviewed changes
• Intelligent DataOps: a self-healing pipeline agent that diagnoses failures and proposes each fix as a pull request for an engineer to approve

Selected results:
• Pipeline issue resolution cut from 6–8 hours to 30 minutes
• New-customer onboarding on a multi-tenant analytics platform cut from four weeks to five minutes
• 70% less manual documentation work with document intelligence on an on-prem GPU server

Everything we build runs in your cloud account or data centre, on your stack, with no proprietary lock-in. Your team can own and operate it.

AgentixLake is an AWS Partner and an Anthropic Certified Solutions Partner, serving clients in the DACH and Gulf regions.

31/10/2026
Full time
AgentixLake GmbH Berlin, Germany
No salary information provided. Part-time Working from home in Berlin Full job description IMPORTANT Application note Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you. About AgentixLake AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers' cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic's Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities. Your role Build the pipelines and data models that people can depend on. You will own defined components of our data engineering projects, from understanding a...