Senior ML/LLM Engineer – Agentic Systems

Job Title: Senior ML/LLM Engineer – Agentic SystemsLocation: Germany, RemoteSalary: €110k base (flexible for experience) + equity As a Senior ML/LLM Engineer, you will:- Own end-to-end ML workflows: from data ingestion, feature engineering, model training and evaluation, to production deployment.- Deep-dive into at least one core application domain:- Price prediction- Two-sided market design (ranking / recommendations)- Agentic workflows using state-of-the-art LLMs- Build production-grade LLM applications, including conversational agents and agentic systems with tool-using capabilities.- Establish and enforce LLMops best practices:- Design reproducible prompt-engineering workflows- Manage model/version tracking- Automate evaluation (e.g., using eval frameworks)- Monitor latency, cost, and refine prompts based on performance metrics- Set up performance tracking, alerting, and automated evaluation to ensure model health in production.- Collaborate across product, engineering, and data science to translate business needs into technical solutions.- Contribute to peer code reviews, tooling, and best practices for reproducible, production-grade ML. Your Profile- 5+ years in ML engineering, including ≥1 year with LLMs- Strong Python fundamentals and production-grade coding practices (testing, CI/CD)- Deep expertise in at least one of:- Deep learning (PyTorch, Transformers)- Ranking/matching algorithms- LLMops (RAG, evals, fine-tuning, agentic workflows)- Proven track record deploying containerized services at scale (Docker, Kubernetes)- Clear communicator who can bridge data science, product, and engineering- Master’s or PhD in ML, CS, Statistics, or related field- Passionate about ML and deep learning; pride in clean, maintainable code; customer-centric Must-Have / Ideal Experience- Hands-on experience building conversational LLM applications and agentic systems- Strong engineering ability: high-quality coding, architecture understanding- Product sense: ability to influence product direction, prioritise, and communicate effectively with stakeholders- Ability to understand how LLM application layers interact with backend and frontend- Experience with LangChain/LangGraph, Python, TypeScript backend, PostgreSQL, AWS/GCP (GCP for LLMs, especially Gemini) You should have at least a B1 level of proficiency in German.