Artificial Intelligence Engineer
2 days ago
MongoDB empowers innovators to transform industries by unleashing the power of software and data. We enable organizations to build, scale, and run modern applications by helping them modernize legacy workloads, innovate with emerging technologies, and unlock AI-driven insights.
We offer a globally distributed, multi-cloud database in over 115 regions across AWS, Google Cloud, and Microsoft Azure through our industry-leading developer data platform, MongoDB Atlas. This allows customers to build anywhere—on the edge, on premises, or across cloud providers. With offices worldwide and over 175,000 developers joining MongoDB every month, it's no wonder that leading organizations trust us to build next-generation applications.
Job SummaryWe are seeking an experienced Artificial Intelligence Engineer - Data Pipelines to join our team in New York City. As part of our hybrid working model, you will be responsible for building highly performant and scalable processes that extract massive datasets and make those datasets available for querying in an optimal way.
About the RoleThis role is focused on building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. You will be building highly performant and scalable processes that extract massive datasets and make those datasets available for querying in an optimal way.
You will also be involved in building a Generative AI framework that will help teams within the company tap into the data that we store in their Retrieval-Augmented Generation (RAG)-based applications.
Your Key Responsibilities- Innovate strategies for building AI tools, including how to optimally chunk and retrieve RAG-based data and which LLMs are best suited to support use cases
- Stay abreast of industry trends in the AI space, and evaluate and incorporate new concepts/tools into MongoDB's internal AI architecture
- Understand the dangers that come with chatbots, and build guardrails that prevent those dangers from occurring
- Build solutions that evaluate the content returned by AI tools using a variety of frameworks, and use the evaluation results to prevent hallucinations
- Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place
- Work with our Data Platform, Architecture, and Governance sibling teams to make data scalable, consumable, and discoverable
- 1+ years building AI and RAG-based applications
- 3+ years building ML models
- 5+ years of Python experience
- Hive, Iceberg, Glue, or other technologies that expose big data as tables
- Familiarity with different big data file types such as Parquet, Avro, and JSON
- 1+ years of Spark experience (nice-to-have)
- 5+ years of building ETL pipelines for a Data Lake/Warehouse (nice-to-have)
- Estimated salary: $180,000 per year
- A competitive benefits package
- The opportunity to work with a cutting-edge technology company
- A dynamic and supportive work environment
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