RAG & Semantic Retrieval Engineer for LLMs

adobe; San Jose (CA); On-site; USD 161,700 - 234,150; Full time

Job summary

Adobe is seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems for AI applications. The role focuses on building scalable Retrieval-Augmented Generation pipelines to improve reasoning and accuracy of enterprise-grade AI systems.

Key responsibilities include architecting retrieval pipelines, implementing data ingestion strategies, and fine-tuning relevance scoring. Candidates should have 4+ years of relevant experience and strong skills in Python. Expected pay in California ranges from $161,700 to $234,150 annually.

Qualifications

• 4+ years in data engineering, ML infrastructure, or information retrieval.
• Experience building and deploying RAG pipelines or semantic search systems.
• Strong Python skills and familiarity with retrieval libraries.

Responsibilities

• Architect and deploy scalable retrieval pipelines.
• Implement semantic search infrastructure and hybrid retrieval systems.
• Fine-tune relevance scoring and reranking algorithms.

Skills

Data engineering

Machine learning

Information retrieval

Python

Cloud platforms

Education

Bachelor's or Master's Degree in Computer Science, Information Systems, or related field

Tools

FAISS

Weaviate

Pinecone

Haystack

Elasticsearch

Docker

Job description

Adobe is seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems for AI applications. The role focuses on building scalable Retrieval-Augmented Generation pipelines to improve reasoning and accuracy of enterprise-grade AI systems.

Key responsibilities include architecting retrieval pipelines, implementing data ingestion strategies, and fine-tuning relevance scoring. Candidates should have 4+ years of relevant experience and strong skills in Python. Expected pay in California ranges from $161,700 to $234,150 annually.