Senior AI Engineer – LLM, RAG

Full-timeSenior

AI Tools

FAISSLangChainLlamaIndexPineconeWeaviate

Tech Stack

PythonPyTorchHugging FaceLangChainLlamaIndexFAISSWeaviatePineconeRAGLLM

Agent Workflow

Lead the development of RAG systems merging LLMs with external knowledge sources. Build troubleshooting assistants for industrial technicians and document processing pipelines.

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.

Apply Now
Apply Now

More jobs like this

Explore related roles

Get jobs like this weekly