DL Remote
AI Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role is Munich based | Top Relocation Support
On behalf of our client—a fast-growing, Y Combinator-backed AI startup automating back-office workflows—we are currently recruiting a (Senior) AI/LLM Engineer (f/m/d).
In this high-impact position, you will take full ownership of building agentic AI systems end-to-end. Your scope covers everything from retrieval pipelines and LLM orchestration to tool-using agents and seamless product integration. You will design scalable architectures and automated feedback loops that transform complex, unstructured data into highly reliable, production-grade AI solutions.
We are looking for a highly committed, mission-driven engineer with a proven track record of deploying complex LLM-driven systems in production, expert hands-on Python programming skills, and the drive to work on-site in Munich in a high-intensity environment.
What You Will Do
- Assume complete end-to-end technical responsibility for constructing, scaling, and launching agentic AI systems.
- Design and fine-tune retrieval systems, LLM orchestration frameworks, and self-contained, tool-utilizing AI agents.
- Build and deploy robust infrastructures capable of handling, organizing, and ingesting vast amounts of unstructured information.
- Create automated evaluation setups and feedback cycles to constantly assess and optimize the performance of AI models.
- Guarantee the smooth and dependable integration of advanced AI functionalities straight into our primary user products.
- Implement reliable monitoring, model serving, and observability systems for AI models operating in live production environments.
- Foster swift prototyping, fast-paced iterations, and agile development practices within a highly dynamic startup setting.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Whom We Are Looking For
- Demonstrated success in architecting, launching, and scaling intricate LLM-based systems and autonomous agents in real-world production environments.
- Mandatory, expert-level proficiency and hands-on coding experience in Python.
- Deep knowledge of creating solid data architectures that can effectively process and structure massive volumes of unstructured data.
- Background in establishing automated benchmarking systems, evaluation frameworks, and continuous feedback loops for LLMs.
- Outstanding sense of initiative and responsibility to independently guide sophisticated technical projects from initial idea to deployment.
- A dedicated and robust mentality geared toward tackling difficult challenges in a rapid, high-growth atmosphere.
- Excellent product intuition, allowing you to translate advanced AI engineering capabilities into tangible benefits for users.
- Readiness to collaborate closely and face-to-face in our Munich office as part of a highly motivated, high-performance team.
- Prior experience working across the full stack (particularly with React, TypeScript, and FastAPI) is highly beneficial.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Remote Work Policy
In this role, you will work on-site from our office in Munich to maximize collaboration, fast execution, and team alignment.
Should you relocate or travel for this position, your relocation and travel expenses will, of course, be fully covered by our client.
What You Will Get
- Competitive salary up to €200k + equity (negotiable based on experience)
- Real technical ownership over core AI products and agentic infrastructure from day one
- The steepest possible learning curve within an ambitious, high-growth AI startup
- Direct collaboration with an exceptional founder team and access to the prestigious Y Combinator network
- Top-tier hardware and uncapped access to cutting-edge AI services, API credits, and tools
- Free Urban Sports Club membership
- On-demand remote setup options whenever temporary flexibility is needed
Next Steps
If you apply here, we will send you additional information about the company, the role, and the salary to support your decision-making process.
If you remain interested, we will invite you to an initial conversation.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London