> Markdown version of [/jobs/ext/2725404-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2725404-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer

- **Company:** Nelly Solutions GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Distributed Systems, Graph Database, Python (Programming Language), Search Algorithms, MongoDB, Node.Js, Performance Tuning, TypeScript, ReactJS, Large Language Models, Multi-Agent Systems, Model Validation, Caching, Backend, Fastapi, Event Driven Architecture, Containerization, Kubernetes, Apache Kafka, Free and Open-Source Software, Api Design
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-ai-engineer-nelly-company-8368799

## About the Role

* Technical leadership mindset with high agency and proactive drive-obsessed with building world-class systems and enabling teams to ship exceptional user experiences.
 * 8+ years building and operating backend systems in production (strong Python skills required - ideal as well: TypeScript for integration work), with 3+ years shipping LLM/GenAI features to users (RAG, tool use, planning, agent frameworks e.g MCP, multi-agent systems).
 * Strong ML fundamentals with hands-on experience in model evaluation, self-evolving agents (e.g Memory).
 * Deep expertise in distributed systems design: API architecture, data modeling, high-throughput async systems, event-driven architectures, caching strategies, and performance optimization.
 * Advanced retrieval engineering experience: embeddings, sophisticated chunking strategies, hybrid search algorithms, schema/metadata design, knowledge graphs, comprehensive eval frameworks, and production monitoring.
 * Proven track record of technical leadership: driving architecture decisions, mentoring engineers, and establishing engineering best practices.
 * Experience with cloud native development at scale, ideally AWS, but GCP is a strong plus, too.
 * Excellent communication skills in English with ability to articulate complex technical concepts to diverse audiences.
Bonus skills:

 * Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on building robust, dependency-aware pipelines at scale.
 * Track record of technical writing, open-source contributions, or speaking at industry events.
 * Fluent German is a big plus, to improve the interaction between you and our user base.

Our tech stack :

 * TypeScript, Node.js, React, Python, FastAPI, Kubernetes, MongoDB, Azure, Kafka, NATS.



## Related Videos

- [When Should You Use an Agent? Architectural Trade-offs in Agentic Systems](https://www.wearedevelopers.com/videos/100109-when-should-you-use-an-agent-architectural-trade-offs-in-agentic-systems)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules)
- [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai)

## Related Articles

- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)