12 дней назад
Senior Software Engineer - Context and Semantics (AI)
190 100 - 285 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Context and Semantics (AI) (RAG/vector search/LLM orchestration): Building backend infrastructure, semantic layers, query federation engines, and context systems that connect AI agents with complex enterprise HR and Finance data, with an accent on distributed data engineering, enterprise-grade RAG, and secure retrieval. Focus on designing low-latency, high-throughput systems, implementing tenant isolation and RBAC, and solving token, cost, and context-window constraints at scale.
Location: Pleasanton, California, USA; hybrid Flex Work with at least 50% of each quarter spent in the office or in the field
Annual base salary: $190,100–$285,100 USD for the primary location; additional US locations have a base range of $160,100–$285,100 USD.
Company
is a Fortune 500 company building an AI platform for managing people, money, and enterprise agents.
What you will do
- Architect, build, and deploy backend services, APIs, and data pipelines for semantic and context layers powering AI agents.
- Design and optimize enterprise RAG pipelines, including embedding generation, intelligent chunking, and vector database integration.
- Build distributed query execution and federation layers using technologies such as Trino to connect transactional and analytical data stores.
- Develop dynamic context and memory workflows with LlamaIndex, LangChain, GraphRAG, or similar orchestration frameworks.
- Implement privacy, tenant isolation, RBAC, and data governance controls throughout retrieval and context systems.
- Lead technical design and code reviews, mentor engineers, and establish engineering practices for a new 0-to-1 product area.
Requirements
- 8+ years of professional software engineering experience in backend architecture, data engineering, or distributed systems.
- 5+ years of hands-on programming experience with Java, Python, Scala, or Go.
- 1+ years of production experience building LLM applications, RAG pipelines, vector search systems, or knowledge graphs.
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; a Master’s degree is preferred.
- Experience with distributed SQL query engines, scalable REST/gRPC APIs, microservices, embedding models, and enterprise security for sensitive regulated data.
- Hybrid work requires at least 50% of each quarter in the office or in the field in the USA.
Nice to have
- Experience with the platform or enterprise SaaS architectures.
- Experience with Trino, Presto, Spark, LangChain, LlamaIndex, or Semantic Kernel.
Culture & Benefits
- Flexible scheduling through a hybrid Flex Work approach combining office, field, and remote work.
- Eligibility for the Bonus Plan or role-specific commission/bonus.
- Potential annual refresh stock grants.
- Reasonable accommodations are available during the application process.
- Equal employment opportunity for qualified applicants, including individuals with disabilities and protected veterans.
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