Responsibilities
- Backend development: Design and build performant, well-tested Python/FastAPI services that power AI-driven features and automations.
- Agentic workflow design: Architect multi-step AI agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers. Define tool schemas, manage state, implement retry/fallback logic, and ensure human-in-the-loop controls where required.
- LLM integration: Integrate LLM providers (OpenAI, Anthropic, open-source models) via APIs and SDKs. Manage prompt engineering, context-window strategies, structured output parsing, streaming, caching, and cost optimization.
- Generative media API integration: Connect and orchestrate external AI creative tools such as Arcads, Seedance, Runway and more into automated content pipelines.
- Business process automation: Identify, propose, and implement AI-native automations across the organization from content creation workflows to data enrichment, QA, customer support, and internal tooling.
- Cloud & DevOps: Collaborate closely with our Platform team to deploy and operate services on AWS. Manage observability, and cost governance for AI workloads.
- Collaboration: Work closely with product, design, and business stakeholders to translate ambiguous business needs into concrete AI-powered solutions.
Requirements
- Backend engineering: 5+ years of production Python experience, with strong hands-on knowledge of FastAPI or similar frameworks
- LLM integration: Proven experience building LLM-powered applications including prompt engineering, context management, structured outputs, and cost optimization across providers like OpenAI or Anthropic
- Agentic systems: Hands-on experience designing multi-step agent pipelines using frameworks such as LangGraph, CrewAI, or custom orchestration layers, including state management, tool schemas, and fallback logic
- API integrations: Experience integrating third-party APIs at scale, ideally including generative media or creative AI tools
- Engineering mindset: You write clean, tested, production-ready code and take full ownership of what you ship
- Stakeholder collaboration: Able to translate ambiguous business problems into concrete technical solutions, working closely with non-technical stakeholders
Nice to Have
- Generative media: Exposure to video, image, or audio generation APIs such as Runway, Seedance, or similar
- Human-in-the-loop: Experience with AI quality assurance or approval workflows
- Scale-up experience: Background in fast-paced, product-led environments
Benefits
- Transport subsidy
- Learning budget
- Wellness and gym
- Workation
- Bi-weekly team lunches
Additional Information
- This is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday!
