About the role
We're looking for an Applied AI Engineer to build production-grade RAG systems, evaluate model performance, and ship intelligent document workflows to enterprise customers.
Responsibilities
- • Design and implement RAG pipelines using advanced retrieval techniques
- • Build evaluation frameworks for LLM outputs and retrieval quality
- • Optimize inference performance for production deployments
- • Collaborate with product teams to ship customer-facing AI features
- • Research and prototype new AI capabilities for the platform
Qualifications
- • 3+ years of experience in ML/AI engineering or research
- • Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, etc.)
- • Hands-on experience building RAG or search systems
- • Familiarity with vector databases and embedding models
- • Understanding of prompt engineering and model evaluation
Nice to have
- • Experience deploying AI systems in regulated environments
- • Background in NLP research or information retrieval
- • Contributions to open-source AI projects
- • Knowledge of on-premises or air-gapped deployment patterns
- • Hello