AI platform engineer for developer experience

Stellenbeschreibung:

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