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.
Nice to have
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
