To build and deploy the infrastructure for a new AI project in the wine industry
Requirements
- Proven experience building production-ready AI infrastructure
- Strong knowledge of Retrieval-Augmented Generation (RAG) systems
- Experience working with and fine-tuning Large Language Models (LLMs)
- Proficiency with vector databases (e.g., Pinecone, Weaviate, Milvus)
- Hands-on experience with contextual retrieval and hybrid search techniques
- Working knowledge of agentic frameworks such as LangChain, LlamaIndex, or Semantic Kernel
- Strong programming skills in Python and relevant ML libraries
- Experience with cloud infrastructure deployment (AWS, GCP, or Azure)
Responsibilities
- Design and implement a robust AI infrastructure to support our new project
- Develop and optimize RAG (Retrieval-Augmented Generation) systems
- Configure and manage vector databases for efficient similarity search
- Implement contextual retrieval and hybrid search solutions
- Work with LLM technologies, including fine-tuning and deployment
- Build agentic AI systems using modern frameworks
Other
- Degree in Computer Science, Machine Learning, or a related field
- 3+ years of experience in ML/AI development roles
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders
