Senior AI Engineer – LLM, RAG
BrightAI Corporation7 months ago
Palo Alto, CA, USASenior
Responsibilities
- Lead the architecture and development of RAG systems combining LLMs with external information sources.
- Develop AI-powered assistants for diagnosing and resolving industrial anomalies.
- Build pipelines for ingesting and indexing large corpora of documents for semantic search.
- Customize foundational models for domain-specific language and logic.
- Collaborate with product, data, and cloud teams on scalable LLM applications.
- Design evaluation strategies for measuring performance and user experience of RAG systems.
- Stay updated on advances in LLM architectures and integrate new techniques into the product roadmap.
Requirements
- M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related field with specialization in NLP or deep learning.
- 5+ years of experience in machine learning or AI with a focus on NLP, LLMs, or conversational AI.
- Fluency with modern LLMs and open-source foundational models.
- Experience building RAG pipelines with tools like LangChain or custom vector database integrations.
- Fluency with prompt engineering and fine-tuning open-source models.
- Deep understanding of document retrieval and vector stores.
- Proficiency with ML development frameworks such as PyTorch and strong Python programming skills.
- Experience integrating AI systems into real-world applications with user-facing interfaces.
- Excellent problem-solving and critical thinking skills.
- Strong written and verbal communication skills for cross-functional collaboration.