Senior AI Engineer – LLM, RAG

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AI Infrastructure

Agentic Frameworks

Tech Stack

About the Role

BrightAI, a high-growth Physical AI company, is hiring a Senior AI Engineer to lead the development of Retrieval-Augmented Generation (RAG) systems that merge large language models with external knowledge sources for industrial troubleshooting applications.

Key Responsibilities

  • Architect RAG implementations that combine LLMs with real-world knowledge sources
  • Develop troubleshooting assistants for industrial technicians
  • Build document processing pipelines
  • Customize foundational models for domain-specific applications
  • Design evaluation metrics for production systems

Required Qualifications

  • Master's or Ph.D. in Computer Science, AI, Machine Learning, or NLP/deep learning specialization
  • 5+ years in machine learning/AI emphasizing NLP, LLMs, or conversational systems
  • Hands-on experience constructing RAG pipelines using LangChain, LlamaIndex, or custom vector database integrations
  • Proficiency with models including LLAMA, Mistral, Claude, and GPT variants
  • Strong Python programming and familiarity with PyTorch/Hugging Face Transformers
  • Knowledge of semantic search, embedding generation, and vector databases (FAISS, Weaviate, Pinecone)
  • Experience with prompt engineering and model fine-tuning

Bonus Qualifications

  • Background in industrial/manufacturing AI applications
  • Multimodal model integration
  • Sensor data processing
  • Startup product development experience

Location: Palo Alto, CA (On-site) Application requires responses to relocation and visa sponsorship questions.

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