> Markdown version of [/jobs/ext/1459054-machine-learning-engineer-agentic-retrieval](https://www.wearedevelopers.com/jobs/ext/1459054-machine-learning-engineer-agentic-retrieval). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine learning Engineer - Agentic Retrieval

- **Company:** Zoom Video Communications, Inc.
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $151,800.0 - $332,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Automated Storage and Retrieval Systems, C Sharp (Programming Language), C++ (Programming Language), Distributed Systems, Enterprise Content Management, Information Retrieval, Python (Programming Language), Machine Learning, Named Entity Recognition, Search Technologies, SQL Databases, Systems Integration, Large Language Models, Generative AI, Information Technology, Data Management, Golang
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9de4652778e8afa2

## About the Role

* Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field.
 * 5+ years of experience in machine learning, search infrastructure, information retrieval, or distributed systems
 * Strong hands-on experience building and operating large-scale search or data platforms in production environments.
 * Have experience building or integrating RAG systems and LLM-based applications in production.
 * Possess proficiency in one or more of: Python, Go, Java, C#, or C++.
 * Solid understanding of information retrieval fundamentals (inverted index, ranking,
embeddings, hybrid retrieval).

 * Strong system design skills with the ability to reason about scale, reliability, latency, and cost trade-off

## Description

* Designing and implementing scalable retrieval systems including vector search, hybrid search (keyword + embedding + reranking), and structured query planning.
 * Designing and optimize Retrieval-Augmented Generation (RAG) pipelines for multi-step, tool-using AI agents.
 * Developing ranking, relevance modeling, and evaluation frameworks to improve search quality and answer grounding.
 * Building indexing pipelines that transform heterogeneous enterprise data into unified, retrieval-ready representation.
 * Building entity extraction and NLP pipelines that support agentic reasoning over enterprise content.
 * Partnering with product, infrastructure, and applied research teams to ship production- grade AI capabilities.


## Related Videos

- [Carl Lapierre - Exploring Advanced Patterns in Retrieval-Augmented Generation](https://www.wearedevelopers.com/videos/1235-carl-lapierre-exploring-advanced-patterns-in-retrieval-augmented-generation)
- [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative)
- [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps)
- [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)