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# Software Engineer Sys 2

- **Company:** Lam Research International Holding Company
- **Location:** Fremont, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $86,000.0 - $183,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Computer Engineering, Continuous Integration, Memcached, Redis, ReactJS, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Caching, Generative AI, Indexer, Backend, Kubernetes, Information Technology, Docker
- **Published:** September 26, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88451715/1

## About the Role

* Master's in computer science, computer engineering, electronics, or a related field with two or more years of industry experience.
 * Strong backend engineering foundation, including experience designing services, data models, and asynchronous processing systems.
 * Strong knowledge of Docker, Kubernetes, and CI/CD pipelines.
 * Experience building prototypes or production applications that utilize generative AI.
 * Experience with vector databases such as FAISS, Milvus, or Weaviate, and caching systems such as Redis or Memcache
 * Hands-on experience with retrieval-augmented generation (indexing, chunking, embeddings, reranking) and context engineering focusing on reliability, cost, and latency optimization.
 * Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows such as ReAct, and failure handling.
 * A passion for turning cutting-edge AI into practical, high-impact solutions.
 * Ability to translate complex technical ideas into scalable architecture.

## Description

* Design, develop, and optimize AI prompts and next-generation applications powered by Large Language Models (LLMs).
 * Develop application and component strategies, overseeing both user experience and backend systems.
 * Implement comprehensive GenAI observability pipelines to track trace-level data, prompt inputs and outputs, and model latency.
 * Collaborate closely with cross-functional teams including business leaders, engineers, architects, and designers to align AI systems with business objectives.
 * Support troubleshooting and issue resolution during testing phases as well as in production environments.
 * Document technical architecture, methodologies, and innovations for effective knowledge transfer and ongoing advancement.
 * Conduct thorough code reviews, provide expert guidance on enhancements and issue resolution, and ensure adherence to engineering standards.


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