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Kobalt Labs

Subscription-based security API for production LLMs

Backend Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 3 years of software engineering experience building and operating production systems.
  • Strong software engineering fundamentals and experience building backend applications and APIs.
  • Strong understanding of databases, data modeling, distributed systems, and production infrastructure.
  • Experience designing and owning substantial backend systems from initial architecture through production.
  • Ability to reason through complex technical problems and make thoughtful architectural tradeoffs.
  • Strong attention to reliability, performance, and maintainability.

Responsibilities

  • Design, build, and operate backend systems that power Kobalt's core products and workflows.
  • Build AI-powered features that automate complex, historically manual risk and compliance work.
  • Own technical projects end-to-end, from architecture and data modeling through implementation, deployment, and iteration.
  • Build reliable APIs, data pipelines, and infrastructure that support increasingly complex customer workflows.
  • Improve the performance, reliability, and scalability of systems as the company grows.
  • Work closely with other engineers and Customer Success to understand customer needs and turn them into technical solutions.

About the Company

Kobalt Labs

Subscription-based security API for production LLMs

Kobalt Labs provides a high-performance security API for production use of large language models (LLMs). Its service helps businesses integrate AI models (from providers like OpenAI and Anthropic, as well as self-hosted models) with strong data protection and low latency. The API ensures all data interactions are encrypted and never stored or trained on user inputs, which supports privacy and regulatory needs. The product works as a subscription-based API that clients integrate into their applications to secure AI-driven workflows; pricing is tiered to match usage levels and security requirements. Compared to competitors, Kobalt Labs focuses on real-time, low-latency security for AI deployments and emphasizes not storing user data, offering a clear privacy guarantee. The company's goal is to become a trusted security partner for organizations deploying AI by providing reliable, scalable, and privacy-preserving protections for their AI data and model interactions.

Company size
11-50
Company stage
Series A
Total funding
$11.1M
Headquarters
New York City, New York
Founded
2023

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