AI Engineer (m/f/x)
Mannheim
Department: osapiens Hub
Employment Type: Permanent
Location: Mannheim
Description
Our osapiens HUB is a modern, enterprise-grade development platform that enables businesses to build powerful applications without worrying about infrastructure, scaling, or failover. You’ll help develop and refine this cutting-edge, serverless ecosystem while delivering meaningful solutions for international clients.As an AI/ML Engineer, you’ll play a key role in shaping the future of our platform by bringing cutting-edge NLP and LLM capabilities into our products. This is your opportunity to work on meaningful challenges with real-world impact, alongside a collaborative and talented team.
This role is based in Mannheim, where you'll collaborate with a talented, forward-thinking team. We embrace a hybrid work model, with three days a week in the office, ensuring the perfect balance between in-person collaboration and remote flexibility.
Your Responsibilities
- Design and implement innovative AI services to enhance the user experience across our global SaaS portfolio.
- Build, fine-tune, and deploy NLP and LLM applications (e.g., entity resolution, intelligent search, document understanding).
- Optimize provisioning of AI services for performance and scalability across a growing international customer base.
- Leverage observability tools and user/system data to generate actionable insights and continuously improve platform intelligence.
- Collaborate with cross-functional teams to integrate AI-driven features into modern, cloud-native applications.
Your Experience
- Strong proficiency in Python and hands-on experience with key Python packages for machine learning and data science.
- Production experience with NLP solutions, including transformer-based models, entity recognition, and classification tasks.
- Practical knowledge of LLMs, including prompt engineering, retrieval-augmented generation (RAG), and structured output generation.
- Experience with vector stores and retrieval-based architectures (e.g., FAISS, Pinecone).
- Containerization expertise using Docker or similar tools for model packaging, deployment, and scalability (must have).
- Comfortable working with tabular data, including anomaly detection and time series forecasting.
- Familiarity with FastAPI or similar frameworks for serving ML models and APIs in production.
- Awareness of modern language model architectures and recent advancements in the field.
- A strong, pragmatic engineering mindset focused on clean code, automation, and scalable solutions.
- Typescript experience or comfort working in a full-stack or frontend-adjacent environment.
- Exposure to multi-lingual NLP or handling diverse text data.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tooling.
- Previous work on ESG or compliance-related applications is a plus.
- Recent hands-on experience with modern NLP approaches is highly valued—even if this isn’t your primary specializations.
Join us for this and more...
- A purpose-driven mission with and for global industry pioneers in tackling complex challenges
- Room for creativity through collaborative teamwork and an open communication culture
- Flexibility and team bonding with our hybrid work options
- Fuel for your growth journey, both personally and professionally
- Sustainable mobility options, promoting eco-friendly commuting solutions
- Fun team events and outings with our global teams
- Inspiring workspaces in Mannheim and beyond
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure Classification Docker Engineering FAISS FastAPI GCP LLMs Machine Learning ML models MLOps NLP Pinecone Prompt engineering Python RAG TypeScript
Perks/benefits: Career development Team events
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