Member of Technical Staff, Platform

Abaka AI•Mountain View, CA

4h•$120,000 - $200,000

About The Position

As a Member of Technical Staff, Platform, you'll build full-stack product features for the Expers Talent platform, covering the entire development lifecycle from initial concept to a shipped, instrumented feature. You will work across the frontend, backend, and the connections between them, collaborating closely with cross-functional teams such as product, project management, and leadership. This role is a generalist product engineering position requiring full-stack fluency (FE and BE) and a product-oriented approach to development. You will be as concerned with whether a feature effectively solves customer and user problems as you are with its technical implementation. Given the Expert Talent platform's significant growth and scaling in the 1-100 stage, your contributions will have immense impact and you will have substantial ownership from the outset.

Requirements

1+ years of professional software engineering experience building and shipping production features.
Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases.
Comfortable working across the stack, including modern frontend frameworks (e.g. React/TypeScript) when the product needs it.
Product-minded: you ask "why should we build this" and "is this the right solution" as naturally as "how do I build this," and you treat customer outcomes as the measure of success, not the technology you shipped.
AI-native by default: you already use AI coding tools daily, and you've built or shipped features that use LLMs/AI.
Solid engineering fundamentals: testing, debugging, performance basics, and the judgment to know when to invest in each.
Comfortable with ambiguity and evolving priorities.
High ownership, pragmatism, and a bias toward shipping.

Nice To Haves

Experience building or integrating LLM-powered features in production is a strong plus.
Knowledge in building AI Agents into productinos
Startup or founder experience
Experience building consumer-facing products at scale.
ML and Deep Learning knowledge and experience
Experience with microservices, event-driven architectures, and cloud platforms (AWS/GCP).

Responsibilities

Design, build, and ship full-stack product features — UI, API, and data layer — with a strong bias toward shipping and iterating quickly.
Own features end-to-end, from product discussion through implementation, testing, and release.
Embed AI directly into product workflows: AI-powered features, assistive UX, and automation that make the product feel intelligent, not just functional.
Build evaluation pipelines and data models for AI-powered features.
Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
Partner closely with Product and Design to shape scope and UX, not just implement a spec handed to you.
Improve the performance, reliability, and observability of assessment infrastructure.