Langdock
Engineering Department(m/w/x)
Full-timeOn-siteNot specified
Berlin
from 140,000 / year
New Job?Nejo!
Your personal AI career agent
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Juna AI
Product/Platform Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin - Langdock
Product Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin - A11
Backend Engineer (AI Agents/Workflows)(m/w/x)
Full-timeOn-siteExperiencedBerlin - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year
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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Langdock
Industry
IT
Description
The company focuses on AI and commercial roles, emphasizing the importance of technical minds in understanding products and customers.
Not a perfect match?
- Langdock
Engineering Department(m/w/x)
Full-timeOn-siteNot specifiedBerlinfrom 140,000 / year - Juna AI
Product/Platform Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin - Langdock
Product Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin - A11
Backend Engineer (AI Agents/Workflows)(m/w/x)
Full-timeOn-siteExperiencedBerlin - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year