What are the responsibilities and job description for the Senior AI Engineer position at observeinc.com?
Observe is a SaaS Observability product that enables businesses to investigate modern distributed applications 10x faster. Observe ingests anything with a timestamp (e.g. system and application logs, metrics, and traces), and then structures that data so that it is correlated and easy to navigate. We enable engineers to spend more time coding features and less time investigating incidents. Finally, because of Observe’s unique elastic architecture, it is priced based on usage, making it cost 10x less than incumbents.
Traditional approaches to this problem have resulted in fragmented tooling and fragile dashboards which, in turn, have resulted in exploding costs and complexity. At Observe, we believe that the core challenge lies in organizing and relating telemetry data emitted by those applications, despite the fact it is constantly changing. Solving this data problem makes observability an order of magnitude easier, faster, and less expensive. At Observe, we didn’t set out to build another monitoring tool company, we set out to build a data company. Observe is founded by top enterprise VC Sutter Hill Ventures and has a founding team from leading Enterprise SaaS companies Snowflake, Splunk, and Wavefront.
The AI team is a small team within Observe that is responsible for leveraging generative AI to help our customers understand their incidents faster. In order to make sense of huge quantities of unstructured data by extracting, summarizing, and retrieving information that is relevant to engineers investigating incidents, we have incorporated recent advances in generative AI into our product.
These use cases include :
- A chatbot with hallucination guardrails that allows users to easily, and reliably, ask questions about our product, powered by an in-house RAG solution searching over our documentation.
- An AI-powered extraction tool that makes it easy to automatically add structure to unstructured machine data with the click of a button.
- Finetuning 7B LLMs to power our OPAL copilot (OPAL is our SQL-like temporal query language).
- Automatic and efficient incident summarization.
We value collaboration, willingness to learn, and the ability to solve immediate problems quickly while building towards a long-term vision.
The Role :
Requirements :
Preferred :
Feel free to apply even if you don’t meet 100% of the requirements!
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