Adobe · 5 months ago
Senior Information Retrieval Engineer, Brand Concierge
San Jose, California, United States of America
Full-time
Onsite
Mid, Senior Level
$172K/yr - $307K/yr
4+ years expAdobe is a company focused on changing the world through digital experiences, empowering individuals and brands to create exceptional digital content. They are seeking a highly skilled Information Retrieval Engineer to lead the development and optimization of retrieval systems for context-aware large language models, focusing on building robust Retrieval-Augmented Generation (RAG) pipelines.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Architect and deploy scalable retrieval pipelines using vector databases (e.g., FAISS, Weaviate, Pinecone, Qdrant)
Implement semantic search infrastructure and hybrid retrieval systems (semantic + keyword)
Build ingestion pipelines for both structured and unstructured data sources
Implement document chunking strategies, embedding generation (e.g., OpenAI, Cohere, HuggingFace), and metadata tagging
Fine-tune relevance scoring, reranking algorithms, and query understanding mechanisms
Develop techniques to improve precision/recall for specific business domains or user tasks
Create and maintain knowledge graphs to support context linking and disambiguation
Manage data freshness and version control to ensure consistency and reliability of retrieved content
Design and iterate on context window strategies that improve LLM reasoning (e.g., adaptive injection, task-based retrieval)
Collaborate with prompt engineers and model developers to align retrieval outputs with downstream model behavior
Track key retrieval metrics such as accuracy, latency, and fallback rate
Implement caching, prefetching, and deduplication strategies to optimize system responsiveness
Qualification
Required
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 (e.g., Haystack, LangChain, Elasticsearch, Milvus)
Proficiency with embedding models, vector similarity search, and document indexing
Familiarity with cloud platforms and MLOps tooling (e.g., Airflow, dbt, Docker)
Preferred
Knowledge of graph databases (e.g., Neo4j, TigerGraph) or knowledge graph design
Experience optimizing retrieval for LLMs (e.g., OpenAI, Anthropic, Mistral)
Background in IR/NLP, Search Engineering, or Cognitive Computing
Degree in Computer Science, Information Systems, or a related field
Benefits
Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
2026-01-18
Company data provided by crunchbase