Who You'll Work For
At Makersite, we're pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Our cutting-edge software enables teams to design, prototype, and manufacture with transparency, efficiency, and responsibility - reducing environmental impact while optimizing performance.
Who We're Looking For
As part of our growing team, you will play a key role in shaping the future of sustainable product development. We're looking for innovative, driven Data Scientists who are passionate about technology and sustainability to join us in building tools that enable companies to make smarter, more responsible decisions. This role is a fixed, permanent position.
The Role
Develop and Deploy Production-Grade AI Systems
- Build, deploy, and maintain scalable APIs that serve AI/ML models in production environments
- Own end-to-end delivery of AI solutions, from prototyping to fully productionized systems
Design Advanced AI Architectures
- Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases
- Build and orchestrate AI agents using frameworks such as LangGraph, CrewAI, or similar
- Evaluate and select appropriate large language models (LLMs) and foundation models based on specific use cases
Optimize Performance and Scalability
- Continuously optimize model inference for latency, cost efficiency, and throughput at scale
- Identify bottlenecks and implement improvements to ensure high-performing systems
Ensure Reliability and Observability
- Implement robust monitoring, logging, and alerting for deployed models and services
- Ensure system reliability, uptime, and performance through best practices in production ML systems
Establish Engineering Best Practices
- Build and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systems
- Contribute to evolving engineering standards as the company transitions from rapid experimentation to more structured, scalable operations
Core Experience
- 5+ years of experience in Python, with ~10 years of overall software engineering or data experience
- Proven experience building and deploying production-grade APIs (preferably with FastAPI)
- Hands-on experience working with large language models (LLMs) and LLMOps, including prompt engineering, fine-tuning, and evaluation
- Strong experience fine-tuning open-source models (e.g., Hugging Face ecosystem)
- Practical experience designing and working with vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector)
- Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, or similar
- Solid understanding of model deployment and serving (e.g., vLLM, TGI, or managed endpoints)
- Experience with CI/CD pipelines and modern deployment practices (Docker, Kubernetes, GitHub Actions)
- Strong experience working with and processing large-scale text datasets
- Residing in and legally permitted to work in the EU
Preferred Experience
- Experience with MLOps platforms such as MLflow or Weights & Biases
- Familiarity with cloud AI ecosystems (e.g., AWS Bedrock, GCP Vertex AI, Azure OpenAI)
- Contributions to open-source AI/ML projects
- Experience in the sustainability or climate/product domain
What We Offer
- Competitive salary
- 30 Days Paid Time Off
- Remote-First Flexibility: work from anywhere in the EU, with the option to collaborate in person at our offices in Stuttgart or Berlin
- Generous Learning & Development budget
- Choose your ideal work equipment (Apple or Microsoft)