Senior AI Engineer, Observe
Data observability & management
Open for applications
Data observability & management
101-200 employees
Open for applications
101-200 employees
Company mission
To become the market leader in observability by turning the world's business data into information.
Role
Who you are
- 3+ years of experience working in generative AI
- Master’s in Computer Science or related field
- Experience with RAG
- Experience evaluating LLMs and RAG systems
- Experience with Huggingface Transformers
- Worked on a model that’s been deployed in production
- Python expertise
- Great written and spoken English communication skills about technical topics
- Knowledge of the Python data science stack: (Scikit-Learn, Numpy, Pandas)
- Experience with FastAPI or Flask
Desirable
- Experience building AI agents
- Experience pre-training and/or fine-tuning LLMs at the 1b+ scale
- Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, etc
- Experience working with adapters, e.g. LoRA
- Experience with Pytorch
- Experience with LLM-powered synthetic data labelling and evaluation
- Experience in the observability domain
- Experience with data processing tools like Apache Spark, Huggingface Datasets, or similar
- Experience with Go
What the job involves
- 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
- Design, improve, and maintain AI features at Observe
- Finetune and serve LLMs in production
- Build AI agentic workflows to improve the observability of users’ systems
Our take
As companies increasingly depend on data-driven decision making, the data observability sector has grown in significance. Observe integrates various types of data (logs, metrics, tracing) and presents it on a single interface (Snowflake).
By leveraging Snowflake, the company utilizes a usage-based pricing model, in which customers pay only for the data they access. With a more cost-effective option relative to other data observability solutions, Observe have been able to set themselves apart in the market.
Clients include Upstart Financial, Open Gov and Top Golf and Observe are backed by Capital One Ventures. Their funding has enabled it to accelerate its overall pace of innovation while extending into reliability, acting upon the data, adapting, and optimizing its analysis and integration. Observe is well positioned to remain a top provider in data observability sector.
Freddie
Company Specialist
Insights
Company
Funding (last 2 of 5 rounds)
Mar 2024
$115m
SERIES B
Oct 2023
$50m
SERIES A
Total funding: $259.5m
Company benefits
- Comprehensive Insurance Coverage (Health/Dental/Vision/Disability/Life)
- Health Savings Account (HSA) & Flexible Spending Account (FSA)
- Mental Health Care
- PTO, Bereavement Leave, Paid Holidays, Sick Days
- Family Medical Leave, Fertility Assistance, Maternity & Paternity Leave, Military Leave
- 401(k)
- Equity Incentive Plan & Stock Options
- Flexible Hours & Work From Home
- And More!
Company values
- Providing a High Quality Customer Experience
- Dedication
- Innovation
Company HQ
Downtown, San Mateo, CA
Articles
Leadership
Jacob Leverich
(VP of Engineering)Co-Founder of Kuro Labs. Previously worked as Director of Engineering at Splunk.
Philipp Unterbrunner
(Director of European Operations)Previously worked as a Software Engineer at Facebook. Founding Engineer at Snowflake Computing. Previous Senior Member of the Technical Staff at Oracle and worked as a Software Engineer at Philotech GmbH.
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