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Abaka AI

AI data lifecycle and annotation platform

Member of Technical Staff - Infra

Backend EngineeringConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAHybrid

About the Job

Requirements

  • Three or more years of professional backend software engineering experience.
  • Expertise in backend API design, data modeling, distributed systems, databases, and API design at scale.
  • A track record of owning architecture across multiple teams or an entire organization and making decisions that age well.
  • Capability with a modern frontend framework such as React or TypeScript, and ability to work across the user interface and backend when needed.
  • Ability to build or integrate AI- and large language model-powered features and agent designs.
  • Fluency with modern AI development tools such as Cursor, Claude Code, or GitHub Copilot as part of a daily workflow.

Responsibilities

  • Own the architecture of shared backend systems, including core services, data models, APIs, and cross-product infrastructure.
  • Define and drive the long-term technical strategy for backend architecture across the organization.
  • Design, build, and ship backend services and APIs that power AI-native product features at scale.
  • Design systems for scale, reliability, and evolvability, and lead high-stakes technical decisions and design reviews.
  • Establish backend engineering standards, patterns, and best practices adopted across product teams.
  • Partner with Product and AI/ML teams to translate product and model requirements into production-grade systems.
  • Use modern AI development tools.
  • Improve performance, reliability, and observability of existing backend infrastructure.
  • Debug and resolve production issues.

Desired Qualifications

  • Startup or founder experience.
  • Experience building consumer-facing products at scale.
  • Knowledge and experience in machine learning and deep learning.

About the Company

Abaka AI

AI data lifecycle and annotation platform

Abaka AI helps companies build AI by handling data and infrastructure for large-scale AI systems. It offers end-to-end data processing across the AI data lifecycle, including data collection, cleaning, annotation, training support, and model evaluation for multimodal data. Its Abaka Forge Platform uses AI-driven pre-labeling and automation, plus a network of over one million annotators and multi-tier verification to ensure quality, and it also provides embedded data professionals to support client workflows. The company aims to deliver scalable, well-labeled training data for models like large language models and other AI systems, serving sectors such as automotive AI, generative AI, and embodied AI.

Company size
201-500
Company stage
Early VC
Total funding
$8M
Headquarters
Palo Alto, CA
Founded
2019

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