Information Retrieval Engineer at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

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 Qualifications
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

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

Skills

Key technologies and capabilities for this role

RAGFAISSWeaviatePineconeQdrantSemantic SearchHybrid RetrievalEmbeddingsOpenAICohereHuggingFaceKnowledge GraphsVector DatabasesRerankingData Ingestion

Questions & Answers

Common questions about this position

What experience level is required for this Information Retrieval Engineer role?

Candidates need 4+ years in data engineering, ML infrastructure, or information retrieval, along with experience building and deploying RAG pipelines or semantic search systems.

What technical skills are essential for this position?

Strong Python skills, familiarity with retrieval libraries like Haystack, LangChain, Elasticsearch, Milvus, proficiency with embedding models, vector similarity search, document indexing, and vector databases such as FAISS, Weaviate, Pinecone, Qdrant are required.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does Adobe's company culture emphasize?

Adobe is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity, hiring the very best, and fostering new ideas from everywhere in the organization.

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters

1994Year Founded

$668.9MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, DesignIndustries

10,001+Employees