BrightAI

BrightAI

Senior AI Engineer – LLM, RAG

Palo Alto, CA · Senior

Sponsorship not specifiedDetected 218 days ago
PythonVector DatabasesCloud PlatformsMachine LearningPyTorchNLPLLMsRAGProduct ManagementLogisticsControlsResearchCommunicationProblem SolvingCritical Thinking

About the role

  • Senior AI Engineer - RAG Systems Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation.
  • Agentic RAG experience is highly desirable.

Responsibilities

  • Lead the architecture and development of RAG systems that combine LLMs (e.g., LLAMA, Mistral, Claude, GPT) with structured and unstructured external information sources.
  • Develop AI-powered assistants to support technicians in diagnosing and resolving anomalies or failures in factory, plant, or industrial settings.
  • Build pipelines to ingest, preprocess, and index large corpora of documents (manuals, logs, notes, procedures) for semantic search and grounding.
  • Collaborate with product, data, and cloud teams to design scalable, privacy-compliant, and latency-sensitive LLM applications.
  • Design evaluation strategies to measure performance, accuracy, and user experience of RAG-enabled systems in production settings.
  • Experience building RAG pipelines with tools like LangChain, LlamaIndex, or custom vector database integrations, with at least one production grade system was built.
  • Deep understanding of document retrieval (semantic search, embedding generation, similarity metrics) and vector stores (e.g., FAISS, Weaviate, Pinecone).
  • Excellent problem-solving and critical thinking skills; ability to design solutions for complex, ambiguous problems.
  • Strong written and verbal communication skills, with ability to collaborate cross-functionally with engineers, product managers, and domain experts.
  • Knowledge of industrial control systems, maintenance workflows, or technician support processes.

Requirements

  • Required Skills & Expertise
  • Proficiency with ML development frameworks such as PyTorch, Hugging Face Transformers, or similar.

Nice to have

  • Experience applying LLMs in industrial or physical infrastructure settings (e.g., manufacturing, logistics, utilities, energy).
  • Exposure to multimodal models or integrating textual data with sensor and/or time-series data.

Skills

  • Senior AI Engineer - RAG Systems
  • Bright.AI is a high-growth Physical AI company transforming how businesses interact with the physical world through intelligent automation.

Benefits

  • Educational Background
  • 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 strong focus on NLP, LLMs, or conversational AI.
  • Strong foundation in core machine learning techniques, including experience with reinforcement learning (RL) or decision-making models.
Apply directly at BrightAI →Create a free account for alerts like thisView BrightAI immigration profile

This listing is sourced directly from BrightAI's careers page and normalized into a canonical job model.