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This is a hands-on founding engineering role for someone who knows how to design, build, and operate production-grade data systems. You will work closely with backend engineers, AI engineers, and product leaders to create the data infrastructure that powers search, analytics, and AI-driven product experiences.
You should be comfortable working in a fast-moving startup environment, making pragmatic technical decisions, and owning systems end to end.
Neuroscale is building the AI recruiting operating system — one unified platform for your entire talent organization, from first touch to hired. Arbi eliminates fragmented workflows, integrates directly with your ATS, and orchestrates AI agents for sourcing, outreach, screening, and candidate intelligence end-to-end. By combining reasoning-optimized models with deep workflow automation, Arbi helps talent teams win more top candidates with dramatically less friction.
We're backed by top operators and investors, and we're growing fast. Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception Program, the HPE Unleash AI Program, and our active DoD SBIR Phase II award and contract.
We are looking for a Founding Data Engineer who can build the data backbone of the platform and help us scale reliably across ingestion, transformation, indexing, storage, and retrieval workflows. This is not a maintenance role. This is a hands-on, high-ownership opportunity for someone who has operated at a staff engineer, architect, or founding/lead engineer level and knows how to build production-grade systems that scale. You will work on the backbone of our platform: APIs, orchestration systems, data workflows, search infrastructure, background jobs, cloud deployment, and backend systems that power AI-enabled products for real customers.
This is a hands-on founding engineering role for someone who knows how to design, build, and operate production-grade data systems. You will work closely with backend engineers, AI engineers, and product leaders to create the data infrastructure that powers search, analytics, and AI-driven product experiences.
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You should be comfortable working in a fast-moving startup environment, making pragmatic technical decisions, and owning systems end to end.
Design, build, and maintain scalable batch and streaming data pipelines that support Neuroscale AI's core platform
Build robust ingestion, transformation, enrichment, and indexing workflows across structured, semi-structured, and document-centric data
Develop and operate production-grade data systems using PostgreSQL, OpenSearch/Elasticsearch, AWS, and Python-based tooling
Design efficient data models, schemas, and storage patterns that support analytics, search, application workflows, and AI use cases
Build secure cloud-native data infrastructure using AWS services such as S3, Lambda, Glue, Kinesis, and IAM
Optimize PostgreSQL for advanced SQL workloads, replication, query performance, and data integrity
Design and manage search and retrieval pipelines in OpenSearch/Elasticsearch for high-speed, relevant access to data
Improve observability, lineage, testing, and reliability across the data platform
Automate infrastructure provisioning and environment management using Terraform or CloudFormation
Partner closely with backend, product, and AI teams to enable new data-driven capabilities and platform features
Help define engineering standards, data platform best practices, and operational playbooks as the company scales
Experience with Kafka, event-driven systems, or other streaming architectures
Experience supporting vector search, semantic retrieval, or AI/ML data pipelines
Experience with workflow orchestration, async processing, and integration-heavy platforms
Experience with containerized environments, CI/CD pipelines, and production monitoring
Experience working on document-centric or AI-enabled platforms
Founding role with significant ownership over architecture, tooling, and platform decisions
Direct exposure to company leadership with real influence over product direction
Work on modern AI, search, and data infrastructure problems with direct customer impact
Build systems from day one — no legacy architecture to inherit
Zero bureaucracy, high trust, and a strong culture of ownership and technical excellence
A seat at the table as we scale our product, team, and engineering culture
USD 100000-200000 yearly / year
Full-time
Senior
Remote
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