About The Role
Abnormal Security is building a comprehensive tool to understand and protect our customers' employees, and we need your help to build a new layer of protection that will give enterprises the same level of security for their cloud offerings as our industry-leading products do in the email security space.
We're looking to add a Backend Engineer to our GenAI Productivity Infrastructure team, which is responsible for building out our platform for internal data integrations and GenAI-based tooling. As a member of this team, you will play a key role in shaping and elevating our GenAI capabilities while working closely with various teams across the company.
What You'll Do
As a Backend Engineer on the GenAI Productivity Infrastructure team, you will:
- Build out prototypes and uplevel various internal workflows throughout the company using GenAI
- Iterate on prompts and GenAI agent architectures to optimize the accuracy of our systems
- Integrate our GenAI platform with various internal data sources, including Jira and proprietary cybersecurity databases
You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place.
We are a scrappy team: we are building multiple systems from scratch - this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Many of our projects will come with vague requirements across multiple teams, and we expect this engineer to be able to refine the requirements from the teams by reaching out to them to make sure we fulfill their needs.
Must Have
- 2+ years of experience with Python
- Experience working with building and operating distributed systems and services
- Experience working with data pipelines, both event-driven and synchronous
Nice to Have
- Familiarity with ChatGPT and other GenAI productivity tools
- Experience with Airflow, ElasticSearch, and REST APIs
0 applies
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