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LALangdock

Platform Engineer(m/w/x)

Berlin
Full-timeOn-siteExperienced
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Designing clear APIs and choosing data models for a secure, model-agnostic AI platform. 3-6 years back-end system development experience required. Equity options.

Requirements

  • 3-6 years back-end system development (queues, caches, databases, streaming, distributed schedulers)
  • Ability to discuss system failure modes and tradeoffs
  • Strong TypeScript and Node.js skills
  • Opinionated about API design, abstractions, and boundaries
  • Infrastructure experience (Terraform, Kubernetes, cloud deployments, networking)
  • Experience operating services across AWS, Azure, or GCP
  • High drive and self-standards
  • Ability to move fast without being pushed
  • Desire to do best work of career
  • Technical working knowledge of LLM ecosystem (context windows, tool calling, streaming, provider quirks, prompt caching)
  • Habit of adding metrics, traces, and structured logs
  • Security-first mindset
  • Understanding of multi-tenant data isolation as design constraint
  • Heavy user of AI tooling in development workflow
  • Opinions on effective AI tooling
  • Experience compounding output with AI

Tasks

  • Design clear APIs for shared backend systems
  • Choose appropriate data models for system reliability
  • Handle failure cases in backend systems
  • Write tests for important invariants
  • Add useful observability to systems
  • Keep abstractions simple for maintainability
  • Develop the AI engine for user prompts
  • Abstract over multiple AI providers
  • Implement prompt caching and routing
  • Manage failover across model deployments
  • Normalize provider-specific behavior
  • Ensure reliable workflow execution
  • Support agent steps, conditions, and loops
  • Extract structured output from workflows
  • Implement human-in-the-loop pauses
  • Handle actions across hundreds of integrations
  • Optimize context windows for long conversations
  • Control costs for model usage
  • Develop a code execution service
  • Ensure clear isolation for untrusted code
  • Control secrets, filesystem access, and network access
  • Maintain tenant boundaries
  • Build a flexible integration layer
  • Support standard REST APIs
  • Implement industry standards for tools and agents
  • Support Model Context Protocol (MCP)
  • Enable agent-to-agent communication
  • Shape the future direction of platform areas

Work Experience

  • 3 - 6 years

Education

  • Vocational certificationOR
  • Bachelor's degreeOR
  • Master's degree

Languages

  • English – Business Fluent

Tools & Technologies

  • TypeScript
  • Node.js
  • Terraform
  • Kubernetes
  • AWS
  • Azure
  • GCP
  • AI tooling

Benefits

Competitive Pay

  • Equity
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Langdock and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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