Senior Ai Engineer with Llm Experience
vor 1 Woche
**Key Responsibilities**:
- Develop LoRA adapter architectures and parameter-efficient training methods
- Prototype and evaluate new training methodologies and model architectures
- Lead proof-of-concept and demo development for quick LLM-based demos
- Contribute to broader data science projects across the team
- Support pre-sales demonstrations by designing and prototyping LLM pipelines, providing technical guidance on retrieval strategies and system architecture decisions
**Required Capabilities**:
- PhD/MS in ML/AI with both practical and theoretical knowledge in large language models
- Deep understanding of transformer architectures and fine-tuning approaches
- Hands-on experience with LoRA adapters and parameter-efficient methods
- Proficiency in PyTorch/TensorFlow and HuggingFace ecosystem
- Research mindset with publications preferred
- Adaptable team player comfortable with diverse data science challenges
- **LLM Pipeline Design**: Experience with modern LLM frameworks (LangChain, LlamaIndex, PydanticAI) and cloud services (AWS Bedrock, Azure Document Intelligence) for rapid prototyping and architectural guidance
- **RAG & Query Systems**: Deep understanding of retrieval algorithms, embedding strategies, and semantic search approaches for optimal system design, including query routing/translation and retrieval optimization techniques
**What we offer**:
- You are part of building an amazing company. We make mistakes together, we learn together, we grow together, and we celebrate together.
- No rigid structures.
- We value your ideas
- The best coffee in Darmstadt. Seriously.
**What we expect**
- Curiosity
- Good communication skills
- A strong sense for quality
Application Question(s):
- Are you either already living in Darmstadt or willing to relocate for this job?
**Experience**:
- LLM framework (e.g. LangChain, LlamaIndex, PydanticAI): 1 year (preferred)
Work Location: In person
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