Applied AI Engineer (Python)

TL;DR

Applied AI Engineer (Python/LLM): Designing and deploying production-grade AI systems and agentic workflows for a global mobile gaming user acquisition platform with an accent on LLM integration and business process automation. Focus on building scalable backend services using FastAPI, orchestrating multi-step AI pipelines, and integrating generative media APIs.

Location: Hybrid in Hamburg, Germany (Office: Tue, Wed, Thu; Remote: Mon, Fri)

Company

A growth-oriented company building a category-leading user acquisition platform for the global mobile gaming ecosystem.

What you will do

• Develop performant Python/FastAPI backend services to power AI-driven features and automations.
• Architect multi-step AI agent pipelines using frameworks like LangGraph, CrewAI, or custom orchestration layers.
• Integrate LLM providers (OpenAI, Anthropic) and optimize prompt engineering, context windows, and costs.
• Orchestrate generative media APIs (e.g., Runway, Seedance, Arcads) into automated content pipelines.
• Identify and implement AI-native automations across content creation, QA, customer support, and internal tooling.
• Collaborate with the Platform team on AWS deployment, observability, and cost governance for AI workloads.

Requirements

• 5+ years of production experience with Python and FastAPI (or similar frameworks).
• Proven experience building LLM-powered applications, including context management and structured outputs.
• Hands-on experience designing multi-step agent pipelines with state management and tool schemas.
• Experience integrating third-party APIs at scale.
• Ability to translate ambiguous business problems into concrete technical AI solutions.
• Must be based in or able to work in a hybrid model in Hamburg, Germany.

Nice to have

• Exposure to generative video, image, or audio generation APIs.
• Experience implementing human-in-the-loop AI quality assurance or approval workflows.
• Background in fast-paced, product-led scale-up environments.

Culture & Benefits

• Ownership-driven environment with a focus on growth, performance, and delivering real results.
• Direct exposure to leadership and participation in strategic decision-making.
• Flexible hybrid work model (3 days office, 2 days home).
• Transport subsidy, learning budget, and wellness/gym memberships.
• Bi-weekly team lunches and workation opportunities.