Verified current Job

Member of Technical Staff, Infra

About Abaka Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipel...

Job Full source details
Abakaai Careers Mountain View, CA Verified 9 hours ago
✓ 92% verification score · Source: Abakaai Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
Member of Technical Staff, Infra at Abakaai Careers

Overview

About Abaka Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley—and teams in Paris, Singapore, and Tokyo—we support global partners with fast, reliable, and scalable data solutions. Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems. About the Role As a Member of Technical Staff, Infra, you'll own the scalability and reliability of the services that power our AI-native product features and platfor

Full job description

Full Job Description

About Abaka

Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley—and teams in Paris, Singapore, and Tokyo—we support global partners with fast, reliable, and scalable data solutions.

Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.

About the Role

As a Member of Technical Staff, Infra, you'll own the scalability and reliability of the services that power our AI-native product features and platform applications, spanning our cloud infrastructure, APIs, and data models that need to hold up under real production load. Backend and infra will be your primary focus, but you should still be a generalist enough to support end-to-end product development when needed.

Finally, you are a product-minded engineer that cares as much about whether a feature solves the customer and users' problems as you do about how it's built. Our Expert Talent platform is growing and scaling significantly in the 1-100 stage, so your impact will be immense and have a great deal of ownership from day one.

Responsibilities

Own the architecture of Abaka Expert Platform's shared backend systems—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 the highest-stakes technical decisions and design reviews.

Establish backend engineering standards, patterns, and best practices adopted across all product teams.

Partner closely 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

Qualifications

3+ years of professional backend software engineering experience

Strong 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 of decisions that aged well.

Capable in a modern frontend framework (React/TypeScript) and able to work the full path from UI to backend when needed

Product-minded: you push back on unnecessary complexity and think about the customer outcome the system enables.

Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.

Experience building or integrating AI/LLM-powered features and agent designs

Fluent with modern AI development tools (e.g., Cursor, Claude Code, GitHub Copilot, or similar) as part of your daily workflow.

Comfortable with ambiguity and evolving priorities

High ownership, pragmatism, and a bias toward shipping.

Preferred Qualifications

Startup or founder experience

Experience building consumer-facing products at scale.

ML and Deep Learning knowledge and experience

Compensation & Benefits

The base salary range for this position is $140,000 - $200,000 USD annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

Discovered directly from the employer’s public Greenhouse Job Board API with content=true. The complete public job-ad body was normalized into safe candidate-facing content.

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Abakaai Careers ↗

Browse current Job and Scholarship listings from Abakaai Careers →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books