Senior Software Engineer, Search AI

New Today

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. Atlas Search is a cloud service that allows users to execute text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale.
Join a new upcoming team responsible for designing and building features that drive adoption of the Atlas Search for AI workloads. The team will be developing scalable services to deliver ML capabilities like embedding, data processing to build RAG and Chat applications on top of MongoDB.
We are looking to speak to candidates who are based in Palo Alto, CA for our in office or hybrid working models.
You would get to:
Design and contribute to our integrated search platform to support ML workloads.
Participate in product and architecture discussions
Perform code reviews with peers and make recommendations on how to improve our code and software development processes
Collaborate with other teams including cloud services, database, enterprise tools, drivers and support to coordinate changes or contribute to their projects Ideally you will be:
7+ years experience delivering large scale systems on production.
Proficient in modern programming languages and techniques preferably Java and Python.
Experienced in developing distributed systems, cloud services and SaaS products
Experience with building Gen AI applications or tools like langchain, llama index is preferred but not required.
Experienced in designing and maintaining search platforms or distributed databases is preferred but not required
Experienced in debugging and profiling multithreaded JVM applications and distributed applications is preferred but not required Success Measures
In three months, you will contribute to search repos to build the foundation for embedding management in MongoDB as well as develop relationships with your team and leaders on other teams.
In six months, you will have delivered a key feature and contribute to new ML capabilities in Atlas Search.
In twelve months, you'll be building POCs, designing new features, and collaborating with other Cloud and Server teams on complex projects.
Apply
Location:
Palo Alto

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