(Senior) Applied AI/ML Engineer (f/m/d)

As an applied AI engineer at Perelyn, you will be involved in both internal and external engagements. Your responsibilities include:

• Contributing to a wide range of AI-related projects, which span from LLM use cases to computer vision, full-stack chatbot development, and Machine Learning Operations (MLOps)

• Supporting research and product development involving AI components, such as Retrieval-Augmented Generation (RAG) or agentic AI

• Engaging in discussions to identify and analyze use cases, both internally and externally, and architecting tailored solutions aligned with business requirements

• Closely collaborating with the AI Strategy department to ensure successful implementation of AI-driven projects

Hands-on AI and Machine Learning Experience

• Practical mentality with proven experience leveraging various AI/ML models
• Ability to implement business-driven Generative AI solutions using frameworks like LangChain, Haystack, or LlamaIndex and software development methodologies
• Interest or knowledge in classical Machine Learning/Deep Learning techniques (advantageous but not required)
• Experience with LLM/AI Agent evaluation, guardrailing, or trustworthy AI

• Ability to independently create and deploy AI-driven applications, including backend code
• Proficient in Python; familiarity with JavaScript, TypeScript, R, or Java is beneficial
• Proficient with containerization and deployment strategies (Docker)
• Experience building and consuming REST APIs
• Understanding of cloud deployment and cloud-native services

• Knowledge of data transformation, cleaning, preparation, and model selection
• Preferred: Understanding of how to evaluate large datasets
• Preferred: Skills in data structuring and storage modeling

• This role requires German language skills at C1 level and fluency in English
• Effective communicator capable of articulating technical concepts clearly
• Confident in representing the company professionally in client interactions
• Team-oriented mindset, open to collaboration and constructive feedback

• Knowledge of advanced Machine Learning methodologies with libraries like Scikit-learn, PyTorch, TensorFlow
• Background in statistics and model evaluation techniques
• Familiarity with computer vision technologies
• Experience with MLOps frameworks (e.g., MLflow)
• Experience integrating LLMs with graph databases (e.g., Neo4j)
• Experience with AI-augmented coding technologies (e.g., Claude Code, Gemini CLI)
• Basic understanding of frontend technologies (React or Angular advantageous)

• Competitive salary with performance-based boni and annual review of package
• Opportunity to grow and develop your (technical) expertise, with all relevant training & certification costs being covered
• A truly flexible working environment with “remote first” policy, opportunities for part-time work and sabbatical, and family-friendly tailormade solutions that fit all
• A dynamic, innovative and experienced team of international professionals that genuinely care (exceptional, but humble :))
• Clear and honest communication on KPIs with adequate tools and structures to facilitate your ownership of projects
• Strong company culture with modern values based on respect, credibility, collaboration and continuous learning
• Bottom-up decision-making, flat hierarchies and modern equipment tailored to your needs
• 30 days annual leave per year + a gym-card (Wellpass) subscription, subsidized by the company