Search
Go
This job is no longer accepting applications
This listing was closed on Jul 18, 2026.
Browse Open JobsSenior AI Engineer – LLM, RAG
Summary by AIEngineer.careers
Senior AI Engineer – LLM, RAG is a AI Engineer role (full-time). with BrightAI. in PALO ALTO, US. Imported listing (source: glassdoor.com). Apply on the employer's site (glassdoor.com).
Imported listing (source: glassdoor.com) · Apply on glassdoor.com
PALO ALTO · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from glassdoor.com
BrightAI is hiring a Senior AI Engineer to lead development of Retrieval-Augmented Generation (RAG) systems for industrial troubleshooting. The role involves architecting RAG pipelines, fine-tuning LLMs, and building AI-powered assistants. You'll work with tools like LangChain, LlamaIndex, and vector databases to ingest and index large document corpora.
Responsibilities
- Lead architecture and development of RAG systems combining LLMs with external information sources.
- Develop AI-powered assistants for technician diagnosis.
- Build pipelines to ingest, preprocess, and index large document corpora.
- Customize and fine-tune foundational models for domain-specific language.
- Collaborate with product, data, and cloud teams.
- Design evaluation strategies for RAG systems.
- Stay up to date with LLM advances.
Requirements
- M.S. or Ph.D. in CS, AI, ML or related with NLP or deep learning specialization.
- 5+ years experience in ML/AI with focus on NLP, LLMs, or conversational AI.
- Fluency with LLMs like LLAMA, Mistral, Claude, GPT.
- Experience building RAG pipelines with LangChain, LlamaIndex, or custom vector DB integrations (at least one production system).
BrightAI
Palo Alto · US · 146+ employees
BrightAI is a technology company that provides a Physical AI platform for monitoring and managing essential critical infrastructure. Its solutions enable proactive asset management, predictive maintenance, and improved operational efficiency for industries such as water, energy, and manufacturing.
