Senior AI Engineer (m/f/x)

Posted 4 Days Ago
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Mannheim, Baden-Württemberg, DEU
Hybrid
Senior level
Artificial Intelligence • Greentech • Software • Automation
The Role
Design, build, deploy, and operate AI agents, multi-agent systems, LLM services, transformer models, and RAG pipelines for enterprise SaaS products. Own AI solutions end to end, including experimentation, model selection, fine-tuning, deployment, monitoring, scalability, optimization, and production operations. Apply AI to search, entity resolution, information extraction, and document understanding.
Summary Generated by Built In
About osapiens
At osapiens, more than 550 talented minds unite around one mission: enabling sustainable growth for businesses worldwide. Founded in 2018 and headquartered in Mannheim, Germany, we have built the AI-driven osapiens HUB - a multi-tenant platform hosting 26 enterprise-grade solutions designed for cross-company collaboration, automation, and compliance. With offices across Europe and the US, we are shaping the future of scalable and secure business technology.

Your team
As an AI 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 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.

Your Responsibilities
  • Design, build, and deploy AI agents and agentic systems that become an integral part of our global SaaS products.
  • Develop LLM-powered services and multi-agent architectures, enabling models, tools, and data sources to work together across complex workflows.
  • Build, fine-tune, and deploy open-source LLMs and transformer-based models, including use cases such as intelligent search, entity resolution, information extraction, and document understanding.
  • Design and operate RAG pipelines and AI services using structured and unstructured enterprise data.
  • Take end-to-end ownership of AI solutions—from experimentation and model selection to deployment, monitoring, optimization, and production operation.

Your Experience
  • At least 5 years of professional experience in AI, Machine Learning, or AI Engineering.
  • Strong proficiency in Python and hands-on experience building production-grade AI applications.
  • Practical experience with LLMs and transformer-based models, ideally including open-source ecosystems such as Hugging Face.
  • Hands-on experience building AI agents or agentic workflows; experience with multi-agent systems is highly valued.
  • Experience with RAG, tool/function calling, structured outputs, and retrieval/search architectures.
  • Experience taking AI applications beyond PoCs into production environments, including deployment, monitoring, scalability, and performance optimization.
Nice to have
  • Experience fine-tuning or adapting LLMs/transformer models for specific domains or tasks.
  • Experience self-hosting open-source models and working with GPU-based inference infrastructure.
  • Experience with multilingual NLP and large-scale document processing.
  • Experience working with enterprise, supply-chain, ESG, or compliance data.

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

About
osapiens develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance.Founded in 2018 and headquartered in Mannheim, Germany, osapiens works with around 2,500 companies in over 50 countries across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by Goldman Sachs and Decarbonization Partners, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.

Skills Required

  • At least 5 years of professional experience in AI, Machine Learning, or AI Engineering
  • Strong proficiency in Python
  • Hands-on experience building production-grade AI applications
  • Practical experience with LLMs and transformer-based models
  • Experience with open-source AI ecosystems such as Hugging Face
  • Hands-on experience building AI agents or agentic workflows
  • Experience with multi-agent systems
  • Experience with RAG, tool or function calling, structured outputs, and retrieval/search architectures
  • Experience deploying AI applications into production, including monitoring, scalability, and performance optimization
  • Experience fine-tuning or adapting LLMs or transformer models
  • Experience self-hosting open-source models and working with GPU-based inference infrastructure
  • Experience with multilingual NLP and large-scale document processing
  • Experience working with enterprise, supply-chain, ESG, or compliance data
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The Company
592 Employees
Year Founded: 2018

What We Do

osapiens develops holistic Software-as-a-Service (SaaS) solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance. Headquartered in Mannheim, Germany, osapiens supports over 2,500 customers worldwide, from SMEs to global enterprises, in driving sustainable growth and regulatory compliance.

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