AI platform engineer for developer experience

Kleinanzeigen; Berlin; Híbrido; EUR 120.000 - 170.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working hours

Hybrid work model

Parental leave

Learning & development budget

Transport allowance

Descripción de la vacante

Kleinanzeigen is seeking a Senior AI Platform Engineer – Developer Experience to shape a shared AI platform used across engineering teams. You will design, build, and operate resilient AI capabilities, gateways, and observability to enable scalable AI-driven workflows.

The role requires hands-on backend and platform work, familiarity with AWS services, Kubernetes, and modern dev tooling. English communication is essential, and German is a plus.

Formación

• Hands-on experience building or operating AI platform capabilities used by multiple teams or applications.

Responsabilidades

• Design and build shared AI platform capabilities for Kleinanzeigen engineering teams.

Conocimientos

AI platform development

LLM gateways

AI agent development frameworks

MCP integration

AI observability

Backend services

Java/Kotlin/Python

APIs & distributed systems

AWS cloud

Kubernetes

Terraform

CI/CD

English communication

Herramientas

AWS Bedrock

OpenAI

Kubernetes

Terraform

CI/CD

Descripción del empleo

Описание:

We are looking for a Senior AI Platform Engineer – Developer Experience (d/f/m) to join our Developer Experience team and help shape the shared AI platform capabilities used across engineering at Kleinanzeigen. Kleinanzeigen is Germany’s No. 1 online classifieds platform, reaching more than 36 million users per month. With around 600 colleagues working across product, technology and business functions, we build and operate the technology behind one of Germany’s most widely used digital platforms. As AI becomes an increasingly important part of software development, we want to move beyond individual tools and experiments and provide engineers with reliable, reusable and governed AI capabilities.

Задачи:

• Design and build shared AI platform capabilities that can be used by engineering teams across Kleinanzeigen
• Build and evolve a unified way for developers, applications and agents to access approved AI models and providers
• Develop AI Gateway capabilities such as model routing, rate limiting, caching, fallbacks, quotas, usage attribution and cost controls
• Evaluate and integrate new models and model providers and help define how they can be introduced into our engineering ecosystem
• Build and evolve MCP Gateway capabilities that allow agents to securely discover and interact with internal tools and data
• Contribute to agent runtime and secure execution capabilities for AI-powered workflows
• Build platform mechanisms for identity, authentication, authorization, delegated access, guardrails, data protection and auditing
• Develop AI observability and evaluation capabilities, including tracing, quality measurement, latency, usage and cost
• Build APIs, SDKs, CLIs, templates and golden paths that make AI capabilities easy for engineering teams to adopt
• Contribute to reusable developer AI workflows and the discovery of approved models, tools and agent capabilities
• Collaborate with Developer Experience, AI Enablement, Release Engineering, DevOps and product engineering teams to identify gaps, avoid duplicated solutions and evolve a coherent AI platform
• Participate in agile ceremonies and contribute to shaping the team's ways of working, including optimizing the way we work with AI

Требования:

• You have hands-on experience building or operating AI platform capabilities used by multiple teams or applications
• You have experience with LLM gateways or model abstraction layers, including concepts such as provider routing, fallbacks, rate limiting, caching, quotas or cost controls
• You have practical experience with AI agent development frameworks, tool calling and agentic workflows
• You have experience with MCP or similar approaches for connecting agents to tools, APIs and internal data
• You understand how to evaluate and observe LLM-powered systems, including tracing, quality evaluation, latency, usage and cost
• You have worked with model providers or platforms such as AWS Bedrock, OpenAI or comparable services
• You understand platform concerns around identity, authentication, authorization, guardrails, data protection and auditing
• You have strong software engineering fundamentals and hands-on experience building backend or platform services
• You are proficient in at least one programming language such as Java, Kotlin or Python
• You are comfortable designing and building APIs, integrations and distributed services
• You have experience with cloud infrastructure, ideally AWS, and understand concepts such as containers, networking, identity and service-to-service communication
• You are familiar with modern infrastructure and delivery practices such as Kubernetes, Terraform and CI/CD
• You are comfortable working in an area where technologies and patterns are still evolving and can make pragmatic technical decisions under uncertainty
• Strong communication skills in English.
• Будет плюсом: German is a plus; Experience with agent runtimes or secure sandbox environments; Experience with context engineering, RAG, embeddings, retrieval or reranking; Experience building AI SDKs, CLIs, templates or developer workflows; Experience with internal developer platforms or developer tooling

Условия:

• Flexible working time (hybrid) 20 days “work from anywhere”
• Paid additional parental leave for both parents
• Extra paid days off for special occasions (e.g. your wedding or a move)
• Confidential support & coaching for you and your loved ones
• Annual company sports events
• Pension and life insurance
• Personal development budget
• Learning opportunities to grow your skills and career
• Corporate benefits and exclusive discounts
• An attractive referral program
• Transportation allowance
• Free shipping on Kleinanzeigen Direktkauf