• Build AI-powered product features using retrieval mechanisms, workflows, tools, and multi-step agent patterns
• Turn product and business needs into reusable, reliable AI capabilities for internal and customer-facing use cases
• Implement AI capabilities in Python using LangChain, LangGraph, Deep Agents, and Bedrock AgentCore
• Design and build AI APIs with clean service boundaries for integration into Java-based product systems

• Build and maintain retrieval and unstructured-data processing pipelines for documents, web content, and other sources used in agent workflows
• Work with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking
• Collaborate with platform and semantic teams to ground AI features in reliable, well-structured data
• Support AI experiences based on structured business data, semantic layers, and analytics-driven use cases

• Drive prompt engineering and context engineering to improve quality, reliability, and usability
• Implement evals, regression checks, prompt-injection tests, scenario-based validation, and quality controls
• Help define evaluation harnesses, testing approaches, and validation methods for agentic and retrieval systems
• Support AI observability, tracing, quality monitoring, maintainability, and production operations

• Contribute to lightweight frontend prototypes and conversational or workflow-driven UI flows in React where needed
• Work closely with semantic, data platform, architecture, product, and engineering teams
• Help establish practical spec-driven and AI-assisted engineering workflows that improve quality, speed, and maintainability

• Strong practical experience with Python and proven experience building AI-powered product features in production or near-production environments
• Experience with LLM application development, including agentic RAG, tool use, workflow orchestration, prompt engineering, and context design
• Strong knowledge of agentic AI concepts such as agent workflows, planning patterns, tool usage, multi-step reasoning architectures, and agent harnesses
• Experience building multi-step agents or pipelines that retrieve, read, and reason over information from web and document sources with a focus on grounding, attribution, and reliability
• Experience building or maintaining unstructured-data pipelines for AI applications, including document and web-page processing, text extraction, retrieval, and AI-oriented data preparation
• Experience designing backend APIs and integrating AI capabilities into larger product landscapes through clear service boundaries

• Hands-on experience with LangChain and/or LangGraph
• Familiarity with Deep Agents or similar multi-step or planning-oriented agent harnesses is a strong plus
• Knowledge of Amazon Bedrock AgentCore and strong overall AWS knowledge, including OpenSearch, S3, and DynamoDB
• Experience with web search APIs such as SERP API, Linkup, or Tavily, and crawling or extraction frameworks such as Firecrawl or Crawl4AI
• Experience with headless or JS-rendering fetching using tools such as Playwright or Puppeteer
• Comfortable with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking across varied, multilingual, and often unreliable web sources
• Experience with MCPs, A2A, AgentCore Gateway, Agent Skills, Agent plugins, and testing these components
• Experience with evaluation harnesses, regression testing, prompt-injection testing, and quality controls for AI and retrieval systems
• Experience with observability, tracing, or monitoring for AI or backend systems
• Ability to contribute to lightweight frontend or prototype work in React when needed

• Strong product delivery mindset with a focus on building and shipping AI-powered capabilities end-to-end
• Comfortable owning AI-powered features in production, not just prototyping them
• Strong quality mindset and the ability to improve AI systems through testing, evaluation, iteration, and harness-based validation
• Comfortable working with structured specifications, clear interfaces, spec-driven development, and AI-assisted engineering workflows
• Deep specialization in AI engineering combined with the willingness to contribute across adjacent layers when needed
• Practical, hands-on approach to solving complex product and platform challenges

• Comfortable collaborating closely with semantic, data platform, architecture, product, and engineering teams
• Able to work across backend implementation, AI application development, APIs, and lightweight frontend prototyping
• Strong ability to translate product and business needs into reliable technical capabilities
• Clear communication style and willingness to share knowledge across teams
• Fluent English skills for working effectively in an English-speaking environment

• Experience with large-scale or polite crawling, deduplication, and source or provenance tracking
• Experience with entity resolution and attribution across heterogeneous web sources
• Experience with multilingual document and web-content processing and retrieval
• Experience designing agentic architectures, evaluation harnesses, and quality frameworks for AI systems
• Experience with AI observability and tracing tools
• Experience with React and frontend prototyping for conversational or workflow-driven experiences
• Experience working with structured business data, semantic layers, or analytics-driven AI use cases
• Experience with advanced document pipelines, retrieval systems, and unstructured-data-based AI features
• Experience in multi-team SaaS environments

Purpose & Impact

• A role with real meaning that is both enjoyable and impactful
• The opportunity to make a sustainable contribution through your work
• Attractive compensation as part of a growing company

Attractive Benefits

• 30 days of paid vacation
• EGYM Wellpass membership to support your work-life balance
• Flexible working models to better balance work and personal life

Modern Work Environment & Flexibility

• Inspiring office spaces in the heart of Munich
• Flexible remote work from home or anywhere within Germany

Great Team

• A professional, welcoming, and highly motivated team
• Collaboration at eye level with an open feedback culture
• An environment where people support each other and grow together

Flat Hierarchies & Ownership

• Short decision-making paths and real opportunities to shape things
• Freedom to contribute and implement your own ideas
• A high level of ownership and responsibility