About the job
About Neuroscale
Neuroscale is revolutionizing the recruitment landscape with our innovative AI recruiting operating system. Our platform, Arbi, unifies the entire talent acquisition process, seamlessly integrating with ATS systems while streamlining workflows through orchestration of AI agents. From sourcing and outreach to screening and candidate intelligence, we empower talent teams to secure top candidates efficiently and with minimal friction.
Our rapid growth is supported by leading industry operators and investors, bolstered by partnerships with prestigious programs such as the NVIDIA Inception Program and the HPE Unleash AI Program. We are also proud recipients of a DoD SBIR Phase II award.
We are on the lookout for a Founding Data Engineer to establish the foundational data architecture of our platform. This role offers a unique opportunity for individuals with experience at the staff engineer, architect, or founding/lead engineer levels to contribute hands-on to the design and implementation of production-grade systems that scale efficiently. You will engage with APIs, orchestration systems, data workflows, search infrastructure, background jobs, cloud deployment, and backend systems that drive our AI-enabled offerings.
Role Overview
As a key founding engineer, you will design, build, and maintain robust, scalable data systems. Collaborating closely with backend engineers, AI specialists, and product leaders, you will create the data infrastructure essential for powering analytics, search functionalities, and AI-driven product experiences. This role suits someone comfortable in a fast-paced startup environment who can make pragmatic technical decisions and take ownership of systems from inception to deployment.
What You'll Do
Design, implement, and maintain scalable batch and streaming data pipelines that are critical to Neuroscale AI's core platform.
Develop robust data ingestion, transformation, enrichment, and indexing workflows across various data types, including structured, semi-structured, and document-centric.
Create and manage production-grade data systems utilizing PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tools.
Design efficient data models, schemas, and storage patterns that facilitate analytics, search, application workflows, and AI applications.
Build secure, cloud-native data solutions that adhere to industry best practices.
