Tenth Revolution Group

AI engineer for LLM applications

In short

Freelance AI Engineer role to build and deploy Generative AI and LLM-based applications, including RAG systems, AI agents, and integrations into existing software environments, from conception through production. The work requires strong Python skills, hands-on experience with LLMs (OpenAI, Claude, Gemini), RAG, vector databases, prompt engineering, and cloud platforms (Azure, AWS, or GCP). Offered on a flexible, remote-heavy freelance/contract basis with experienced technology teams.

Description
For an innovative technology environment, we are looking for an experienced Freelance AI Engineer (m/f/d) to guide modern AI solutions from conception through to production. In this role, you will work on exciting projects in Generative AI, Machine Learning, and intelligent automation solutions. You will develop scalable applications based on current LLM technologies and support companies in integrating AI into existing processes.
Responsibilities
•Develop and implement AI and GenAI solutions
•Build applications based on Large Language Models (LLMs)
•Develop RAG systems (Retrieval-Augmented Generation)
•Integrate AI models into existing software environments
•Optimize prompts, workflows, and AI agents
•Work closely with business units, developers, and stakeholders
•Support architectural decisions and best practices
Requirements
•Experience as an AI Engineer, Machine Learning Engineer, or in a comparable role
•Strong knowledge of Python
•Experience with LLMs such as OpenAI, Claude, Gemini, or comparable models
•Knowledge of RAG, vector databases, and prompt engineering
•Experience with cloud platforms (Azure, AWS, or GCP)
•Understanding of modern software architectures and APIs
•Independent and structured working style
•Very good English skills; German is an advantage
Nice to have
•Experience with Agentic AI and multi-agent systems
•Knowledge of LangChain, LangGraph, or comparable frameworks
•Experience with fine-tuning and model optimization
•DevOps or MLOps knowledge
Conditions
•Exciting AI projects using the latest technologies
•High proportion of remote work
•Flexible contract arrangements
•Collaboration with experienced technology teams
•Long-term project opportunities may be available

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