Senior AI Context & Semantics Engineer (RAG & LLMs)

Workday, Inc.

Pleasanton (CA)

Hybrid

USD 160,000 - 285,000

Full time

10 days ago
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Job summary

Workday is looking for a Senior Software Development Engineer in Context and Semantics to architect and scale the backend systems powering AI Agents. You will design end-to-end RAG pipelines, embedding generation, and vector search integrations across transactional and analytical stores.

You will lead and mentor engineers, optimize low-latency retrieval, and ensure secure, governed AI execution at scale in a hybrid work model based in Pleasanton, CA.

Qualifications

  • 8+ years of professional software engineering in backend or distributed systems.
  • 5+ years of hands-on programming in Java, Python, Scala, or Go.
  • 1+ years building production-grade LLM apps, RAG pipelines, or vector search.
  • Bachelor’s degree in CS or related field; Master’s preferred.

Responsibilities

  • Architect, build, and deploy robust backend services and data pipelines.
  • Design and optimize enterprise-grade RAG pipelines with embedding generation.
  • Build distributed query execution layers to fetch context across data stores.
  • Develop LLM orchestration workflows for multi-turn agent reasoning.
  • Embed data security, tenant isolation, and RBAC into retrieval layers.
  • Lead code/design reviews and propagate engineering best practices.

Skills

Backend architecture
Distributed systems
Java
Python
Go
LLM apps
RAG pipelines
Vector search

Education

Bachelor's degree
Master's preferred

Tools

Trino/LDQ
Pinecone
Milvus
Elasticsearch
LangChain
LlamaIndex

Job description

Workday is looking for a Senior Software Development Engineer in Context and Semantics to architect and scale the backend systems powering AI Agents. You will design end-to-end RAG pipelines, embedding generation, and vector search integrations across transactional and analytical stores.

You will lead and mentor engineers, optimize low-latency retrieval, and ensure secure, governed AI execution at scale in a hybrid work model based in Pleasanton, CA.

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